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Accordion

Finance-focused consulting with portfolio operations technology

Lead Data Engineer - Data Management

Data EngineeringConfirmed live in the last 24 hours
Full-timeHyderabad, Telangana, IndiaNo salary listedIn-person

About the Job

Requirements

  • An undergraduate B.E./B.Tech. degree from a tier-1 or tier-2 institution is ideally sought.
  • 6–9 years of relevant experience in data engineering, data platform development, or cloud data architecture.
  • Strong SQL proficiency, including query optimization, complex transformations, and data modeling across relational and columnar databases.
  • Hands-on experience with at least two of Microsoft Fabric, Azure Synapse Analytics, Databricks, Snowflake, Google BigQuery, or AWS Redshift.
  • Experience designing data lake and lakehouse architectures using open table formats such as Delta Lake and Apache Iceberg on cloud storage such as ADLS, S3, or GCS.
  • Proficiency in cloud-native orchestration tools such as Azure Data Factory, Databricks Workflows, dbt, Apache Airflow, or equivalent.
  • Hands-on experience building Model Context Protocol servers to expose data assets and platform capabilities to AI agents and tools.
  • A habit of responsibly integrating AI tools such as GitHub Copilot, Cursor, or similar to improve delivery speed and code quality.
  • Hands-on experience owning end-to-end DevOps practices, including designing and implementing CI/CD pipelines for robust, scalable, and repeatable deployment of data solutions across environments.
  • Initiative, innovation, and ability to lead technical discussions with senior stakeholders.
  • An analytical, AI-first, automation-forward problem-solving mindset.

Responsibilities

  • Partner with client stakeholders to understand business challenges and translate them into data architecture requirements and actionable solution roadmaps.
  • Lead the design of cloud-native data platform architectures, including data lakes, lakehouses using Delta Lake or Apache Iceberg, and modern data warehouses, and recommend the appropriate technology stack for each engagement.
  • Collaborate with business and technology teams to define KPIs, data models, and metrics frameworks aligned with client goals.
  • Partner with Project Managers to develop and execute delivery plans, ensuring high-quality output within agreed timelines.
  • Evaluate and lead implementation of modern data integration patterns, including streaming pipelines, ELT/ETL orchestration, and real-time data processing.
  • Design and lead implementation of AI-ready data infrastructure, ensuring governance, lineage, and accessibility patterns support downstream AI and analytics consumption.
  • Responsibly integrate and leverage AI tools such as Claude, GitHub Copilot, Cortex, and Genie to accelerate pipeline development, code reviews, documentation, and solution delivery.
  • Design, build, and deploy Model Context Protocol servers to expose data platform capabilities as tools for AI agents and LLM-powered workflows.
  • Conduct technical design reviews and architecture assessments, and provide training and knowledge-transfer sessions for junior engineers.
  • Stay current with emerging technologies, cloud platforms, AI tooling, and data ecosystem innovations to deliver forward-thinking client solutions.

Desired Qualifications

  • Experience with streaming platforms such as Apache Kafka, Azure Event Hubs, or AWS Kinesis.
  • Working knowledge of business intelligence tools such as Power BI, Tableau, or Looker.

About the Company

Accordion

Finance-focused consulting with portfolio operations technology

Accordion partners with private equity firms to drive value creation through financial consulting services and portfolio operations technology. The core offering combines hands-on support in the Office of the CFO with a technology platform called Maestro, which institutionalizes a private equity firm’s approach to value creation across the finance function. How it works: a team of consultants works alongside sponsor management to execute initiatives across finance processes, using Maestro to standardize and scale the PE value-creation playbook. What sets Accordion apart: it is the only firm focused exclusively on the CFO function within private equity, pairing dedicated execution expertise with a proprietary platform that codifies portfolio operations best practices. Its goal is to help private equity sponsors achieve flawless execution across portfolios, shaping a new era in private equity through disciplined, measurable value creation.

Company size
1,001-5,000
Company stage
Pre-seed
Total funding
$25K
Headquarters
New York City, New York
Founded
2009

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