Full-Time

Product Specialist

Hadoop

Acceldata

Acceldata

201-500 employees

Data observability platform improving data reliability

No salary listed

Bengaluru, Karnataka, India

In Person

On-site in Bengaluru; rotating shifts and 24/7 coverage required.

Category
Data & Analytics (1)
Required Skills
Kubernetes
Apache Spark
Hadoop
Yarn

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Requirements
  • The candidate must have hands-on experience with Hadoop and Spark, and be capable of building resilient, high-performance distributed data systems.
  • The candidate should design and optimize distributed Hadoop-based applications to achieve low-latency, high-throughput performance for big data workloads.
  • The candidate should provide expert-level troubleshooting for data or performance issues in Hadoop and Spark jobs and clusters.
  • The candidate should have data processing expertise working with large-scale data pipelines using Hadoop and Spark core components.
  • The candidate should perform deep-dive performance analysis, debugging, and optimization of Impala and Spark jobs to reduce processing time and resource consumption.
  • The candidate should collaborate with DevOps and infrastructure teams to manage Impala and Spark clusters on platforms such as Hadoop/YARN, Kubernetes, or cloud platforms like AWS Elastic MapReduce and Google Cloud Dataproc.
  • The candidate should provide dedicated migration support to ensure stability and reliability of the new Open Data Platform Hadoop environment during and after migration and optimize system performance after migration to Open Data Platform.
  • The candidate must be willing to work in rotational shifts and support operations in a 24/7 environment.
Responsibilities
  • Design and optimise distributed Hadoop-based applications, ensuring low-latency, high-throughput performance for big data workloads.
  • Troubleshooting: Provide expert-level support for data or performance issues in Hadoop and Spark jobs and clusters.
  • Data Processing Expertise: Work extensively with large-scale data pipelines using Hadoop and Spark's core components
  • Performance Tuning: Conduct deep-dive performance analysis, debugging, and optimisation of Impala and Spark jobs to reduce processing time and resource consumption.
  • Cluster Management: Collaborate with DevOps and infrastructure teams to manage Impala and Spark clusters on platforms like Hadoop/YARN, Kubernetes, or cloud platforms (AWS EMR, GCP Dataproc, etc.).
  • Migration: Provide dedicated support to ensure the stability and reliability of the new ODP Hadoop environment during and after migration. Promptly address evolving technical challenges and optimise system performance after migration to ODP.
  • This role requires flexibility to work in rotational shifts, based on team coverage needs and customer demand.
  • Candidates should be comfortable supporting operations in a 24/7 environment and be willing to adjust their working hours accordingly.

Acceldata provides a data observability platform that helps data teams improve data reliability, reduce costs, and manage large data infrastructures. It uses machine learning-driven automation to monitor data health and operational performance, delivering actionable insights. Key features include Spend Intelligence (cuts data platform costs), Data Reliability (speeds up quality checks), and Operational Intelligence to prevent critical severity-1 issues. The platform is offered on a subscription model for business customers and aims to maximize the value of data investments by ensuring data is reliable, affordable, and ready for decision-making, especially for teams managing complex data stacks and transitions to open-source technologies.

Company Size

201-500

Company Stage

Series C

Total Funding

$105.6M

Headquarters

San Jose, California

Founded

2018

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Simplify Jobs

Simplify's Take

What believers are saying

  • May 19, 2026, Autonomous Data & AI Platform targets enterprise AI modernization spend.
  • May 6, 2026, ServiceNow integration expands distribution into workflow and agentic-AI buyers.
  • European xLake expansion and Fortune 500 growth signal demand beyond point observability tools.

What critics are saying

  • August 1, 2026, ServiceNow made AI, data, governance, and workflows built-in everywhere.
  • July 29, 2026, Snowflake added public-preview data quality monitoring inside Snowsight.
  • Databricks, Microsoft, and ServiceNow can bundle observability into platforms, shrinking Acceldata's standalone value.

What makes Acceldata unique

  • May 19, 2026, xLake computes across cloud, on-prem, hybrid, and sovereign data.
  • Acceldata observes one trillion daily data events, giving unusually deep operational telemetry.
  • May 5, 2026, ServiceNow partnership embeds quality scores into Workflow Data Fabric.

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Benefits

Health Insurance

Health Savings Account/Flexible Spending Account

Paid Vacation

Paid Holidays

Flexible Work Hours

Remote Work Options

Hybrid Work Options

401(k) Retirement Plan

401(k) Company Match

Wellness Program

Mental Health Support

Gym Membership

Professional Development Budget

Conference Attendance Budget

Education allowance

Tuition Reimbursement

Sabbatical Leave

Family Planning Benefits

Fertility Treatment Support

Adoption Assistance

Parental Leave

Childcare Support

Elder Care Support

Employee Stock Purchase Plan

Stock Options

Company Equity

Maternity Leave

Paternity Leave

Meal Benefits

Phone/Internet Stipend

Home Office Stipend

Relocation Assistance

Employee Referral Bonus

Professional Certification Support

Mentorship Program

Learning & Development Support

Legal Services

Travel Stipends

Commuter Benefits

Pet Insurance

Business Travel

Disability Insurance

Life Insurance

Vision Insurance

Dental Insurance

Paid Sick Leave

Paid Holidays

Growth & Insights and Company News

Headcount

6 month growth

-3%

1 year growth

-5%

2 year growth

-3%
Associated Press
Jul 23rd, 2026
Acceldata expands in Europe with xLake platform for enterprise AI and data sovereignty

Acceldata, a provider of data management and AI platforms, is expanding its operations in Europe to meet growing demand for its xLake platform. The company's technology enables enterprises to use data across multiple storage systems for AI projects without consolidating everything into one location, whilst maintaining data sovereignty and governance requirements. The firm has made several senior appointments to support its European expansion, including Ali Afsar as Senior Vice President of Data Strategy and Colin Fernandes as Director of EMEA Market Development. Acceldata already serves major global enterprises, including seven of the top twelve banks and four of the top ten life sciences companies. The company processes over one trillion data events daily for its customers. Research commissioned by Acceldata found that 80% of enterprises run hybrid data infrastructures, whilst 75% operate four or more data platforms in production.

Analytics India Magazine
May 21st, 2026
Acceldata launches hybrid-native platform for enterprise AI.

Acceldata launches hybrid-native platform for enterprise AI. Acceldata launched the platform to help enterprises run AI and analytics across distributed data environments. MAY 21, 2026, 12:05 AM Key Takeaways What actually matters. Acceldata has launched a platform to support AI workloads across diverse data environments, addressing challenges in governance and infrastructure. The platform targets enterprises using cloud, on-premises, hybrid, and sovereign infrastructures amidst growing operational complexity. Acceldata has launched an autonomous data and AI platform to help enterprises run AI workloads across distributed data environments, as companies face growing challenges in governance, infrastructure readiness, and fragmented systems. The platform is now available globally and targets enterprises operating across cloud, on-premises, hybrid, and sovereign infrastructure. The launch comes as enterprises expand AI adoption but struggle to scale systems built on fragmented data architectures. Acceldata said the platform introduces a new compute model that allows analytics and AI agents to operate on enterprise data wherever it resides. Built on the company's xLake architecture, the platform routes workloads across infrastructure, enforces governance, and manages data quality in hybrid-native environments.

HPCwire
May 6th, 2026
Acceldata partners with ServiceNow to bring high quality data to enterprise AI Agents.

Acceldata partners with ServiceNow to bring high quality data to enterprise AI Agents. May 6, 2026 Press play to listen to this content CAMPBELL, Calif., May 6, 2026 - Acceldata has announced a partnership with ServiceNow as part of its Workflow Data Fabric ecosystem. The partnership helps enterprises strengthen trust in the data powering workflows and AI while bringing richer incident context into ServiceNow to help accelerate resolution. As enterprises connect data from modern data platforms and on-premise systems into broader workflows and AI built on the ServiceNow platform, a single data issue can ripple through enterprise workflows and cause significant downstream business impact. This makes it harder to isolate the underlying problem and resolve it quickly, increasing the risk of disruption to business-critical workflows. It also highlights the importance of clear visibility into data health across these environments. Acceldata already connects to and observes many of the modern data platforms that feed the broader Workflow Data Fabric ecosystem, monitoring the health, quality, and reliability of data across those environments. Through its integration with the ServiceNow Data Catalog (formerly data.world), Acceldata now synchronizes data quality and reliability scores directly to cataloged data assets. This enables business and technical teams to clearly understand the health and trustworthiness of their data within the context of business metadata and governance workflows. Users can see the policies and rules that identify and flag issues and seamlessly drill down into detailed diagnostics through deep links to the Acceldata platform. Beyond visibility, AI Agents on the ServiceNow platform can automatically consume data assets that have been tagged and approved for use - ensuring they always operate on data that meets the right quality thresholds. This bi-directional integration ensures shared visibility into data quality signals where teams already work, while giving AI the trusted inputs it needs to act with confidence. In addition, Acceldata identifies underlying data reliability issues and passes the most relevant incident context to ServiceNow to accelerate triage and remediation. The integration also helps reduce unnecessary ticket volume, provides visibility into downstream business impact, and accelerates resolution. "Enterprises are moving quickly to connect data, workflows, and AI, but trusted action depends on trusted data," said Rohit Choudhary, Founder and CEO of Acceldata. "By partnering with ServiceNow as part of its Workflow Data Fabric ecosystem, we can help customers bring greater visibility into the health and trustworthiness of their data, understand downstream business impact, and accelerate resolution with richer operational context." "Workflow Data Fabric is designed to help organizations connect data across systems, add business context, and power more intelligent workflows - but that only works when you can trust the data moving through it," said Pramod Mahadevan, VP of Data & Analytics Product Ecosystem at ServiceNow. "Working with Acceldata brings proactive data observability and richer incident context directly into ServiceNow Data Catalog, so issues are spotted sooner, downstream business impact is understood, and problems are resolved faster - not just by people, but by AI agents acting autonomously. Enterprises need that operational confidence to run AI and agentic workflows at scale." As enterprises connect more data, workflows, and AI across platforms, trust in operational data becomes increasingly important. Acceldata and ServiceNow are helping address that need by bringing proactive data observability and contextual remediation into the Workflow Data Fabric ecosystem. Over time, the companies expect to deepen their collaboration, to support richer workflow integration and help customers bring trusted data more directly into the flow of work. Acceldata and ServiceNow will also showcase the partnership in a joint demonstration at Knowledge 2026. About Acceldata Acceldata is the company pioneering Agentic Data Management, helping enterprises build trusted data foundations for analytics, AI, and business operations. With deep capabilities in data observability, data quality, and intelligent data operations, Acceldata enables organizations to proactively manage data across complex hybrid and cloud environments.

Yahoo Finance
May 5th, 2026
Acceldata partners with ServiceNow to strengthen data trust for enterprise AI agents

Acceldata has partnered with ServiceNow to integrate with its Data Catalog, enabling enterprises to strengthen trust in data powering AI agents and workflows. The integration synchronises data quality and reliability scores directly to catalogued assets, giving business and technical teams visibility into data health within governance workflows. The partnership addresses a critical challenge: single data issues can ripple through enterprise workflows built on the ServiceNow platform, causing significant business disruption. Acceldata monitors data health across modern platforms and on-premise systems, helping teams identify problems quickly. AI agents on the ServiceNow platform can automatically consume approved, quality-checked data assets, ensuring they operate on trusted inputs. The integration also passes relevant incident context to ServiceNow to accelerate issue resolution and reduce unnecessary ticket volume.

Solutions Review
Oct 10th, 2025
Analytics and Data Science News for the Week of October 10; Updates from Alteryx, Databricks, Dataiku & More

Analytics and data science news for the week of October 10; updates from Alteryx, Databricks, Dataiku & more. Solutions Review Executive Editor Tim King curated this list of notable analytics and data science news for the week of October 10, 2025. Keeping tabs on all the most relevant analytics and data science news can be a time-consuming task. As a result, our editorial team aims to provide a summary of the top headlines from the last week in this space. Solutions Review editors will curate vendor product news, mergers and acquisitions, venture capital funding, talent acquisition, and other noteworthy analytics and data science news items. For early access to all the expert insights published on Solutions Review, join Insight Jam, a community dedicated to enabling the human conversation on AI. Analytics and data science news for the week of October 10, 2025. Acceldata's xLake sets AI data quality benchmark. Acceldata launched the xLake Reasoning Engine, establishing what it claims is the first benchmark for AI-ready data quality at scale. This engine helps organizations measure, remediate, and maintain the quality of massive AI datasets for better results. Read more | https://www.acceldata.io/newsroom/acceldatas-xlake-reasoning-engine-establishes-first-benchmark-for-ai-ready-data-quality-at-scale Databricks and SAP launch Business Data Cloud Connect. Databricks announced general availability of SAP Business Data Cloud Connect, enabling seamless connections between SAP data and Databricks' AI and analytics platform. The integration helps organizations unlock SAP intelligence for advanced analytics. Read more | https://www.databricks.com/blog/announcing-general-availability-sap-business-data-cloud-connect-databricks Dataiku releases global AI confessions report for data leaders. A new Dataiku report shares candid insights from global enterprise data leaders about AI implementation, fears, and adoption challenges. Key findings cover trust, upskilling, and investment priorities in enterprise transformation. Read more | https://www.dataiku.com/press-releases/global-ai-confessions-report-data-leaders-edition/ EXL launches EXLdata.ai suite for enterprise AI adoption. EXL debuted EXLdata.ai, a unified suite of AI data solutions designed to accelerate enterprise adoption, streamline data integration, and enable algorithmic automation in large organizations. Read more | https://www.quiverquant.com/news/EXL+Launches+EXLdata.ai%3A+New+Data+Solutions+Suite+to+Accelerate+AI+Adoption+in+Enterprises Mixpanel acquires DoubleLoop to connect product decisions with business outcomes. Mixpanel acquired DoubleLoop, an AI-powered platform for tying product analytics to revenue and growth. The integration will help teams make data-informed decisions that directly impact key business metrics. Read more | https://www.businesswire.com/news/home/20251007207374/en/Mixpanel-Acquires-DoubleLoop-to-Drive-Product-to-Revenue-Outcomes-with-AI Research survey: data readiness and infrastructure drive AI era success. A global research survey finds that organizations with strong data readiness and modern IT infrastructure report the most success unlocking business value from AI investments, urging leaders to prioritize foundational upgrades. Read more | https://www.businesswire.com/news/home/20251007931440/en/Research-Finds-Data-Readiness-and-Infrastructure-as-Critical-to-Success-in-the-AI-Era Power BI upgrades "prep your data for AI" in the cloud. Microsoft updated Power BI Service with robust data prep tools for AI in-browser, including cleaning, transformations, and schema enhancements. These features simplify AI project launches and democratize analytics across organizations. Read more | https://powerbi.microsoft.com/en-us/blog/prep-your-data-for-ai-now-in-the-power-bi-service/ SAP Connect unveils Business Suite integrating AI, data, and applications. SAP's new Business Suite combines AI, rich data, and enterprise applications to drive smarter, more resilient business operations. Joule's role-aware AI assistants, agent orchestration, and supply chain intelligence promise to boost productivity, turn data into real-time action, and enable cross-platform analytics with SAP's growing partnership ecosystem. Read more | https://news.sap.com/2025/10/sap-connect-business-suite-unites-ai-data-applications/ Starburst debuts AI-ready data platform for the agentic workforce. Starburst revealed a new platform built to power AI and agentic workforces, enabling faster analytics on decentralized data. The offering is designed to prepare organizations for collaborative, AI-automated work at scale. Read more | https://www.prnewswire.com/news-releases/starburst-unveils-ai-ready-data-platform-to-power-the-agentic-workforce-302577612.html Syntax unveils DNA3 to unify AI, automation, and analytics for smarter enterprises. Syntax launched DNA3, an integrated platform combining AI, process automation, and analytics. DNA3 empowers organizations to drive efficiency, deliver real-time insights, and speed up transformation through unified enterprise technology. Read more | https://www.syntax.com/news/syntax-dna3-unites-ai-automation-and-analytics-to-drive-smarter-faster-enterprises/ Expert insights. Watch this space each week as our editors will share upcoming events, new thought leadership, and the best resources from Insight Jam, Solutions Review's enterprise tech community where the human conversation around AI is happening. The goal? To help you gain a forward-thinking analysis and remain on-trend through expert advice, best practices, predictions, and vendor-neutral software evaluation tools. Solutions Review is getting set to host Alteryx for 'from clean data to clear insights' on October 23. AI is most valuable when it's seamlessly embedded into the way you already work. At Alteryx, we've introduced new capabilities that enhance the analytics experience with prebuilt workflows, intelligent automation, and practical AI assistance. This session will show you how these tools can help analysts and business leaders save time, improve accuracy, and deliver insights in ways that directly support business goals. Solutions Review is getting set to host Qrvey for 'how saas companies win with self-service analytics and AI' on november 13. Join Qrvey for an expert-led session exploring how software-as-a-service (SaaS) providers can unlock new growth, retention, and monetization opportunities through embedded self-service analytics and AI. In this event, attendees will learn how to transform their data into a true competitive advantage by empowering customers with intuitive, on-demand insights and AI-driven automation directly within their applications. The digital analyst - John santaferraro & Zenlytic CTO John Blankley discuss how agentic AI is transforming BI. Zenlytic CTO Paul Blankley sits down with John to explain how agentic AI is finally delivering on BI's promise of self-service analytics. It's not just better dashboards, but AI analysts that reason, remember, and recommend like your best team member. From answering strategic questions that were previously impossible without human analysts to proactively monitoring business changes, Paul demonstrates why Stanley Black & Decker used this technology to avoid layoffs during tariff uncertainty. On-Demand: Insight Jam hosted bob eve and michael fauscette for the Jam session - competing through insights & why analytics still matter. In everyone's mad dash to adopt AI, organizations may be inadvertently discounting traditional analytics platforms and the valuable insights they provide. Instead, firms need to heed Sun Tzu's counsel, "Know yourself and you will win all battles." To help you avoid taking your eye off the Analytics ball, we have assembled a team of experts. For consideration in future analytics and data science news roundups, send your announcements to the editor: [email protected]. Share this. Tim King. Tim is Solutions Review's Executive Editor and leads coverage on data management and analytics. A 2017 and 2018 most influential business journalist and 2021 "who's who" in data management, Tim is a recognized industry thought leader and changemaker. Story? Reach him via email at tking@solutionsreview dot com.