Full-Time

Senior Technology Consultant

Data & AI

Posted on 8/26/2025

Microsoft

Microsoft

10,001+ employees

Develops software, OS, and cloud services

No salary listed

India

In Person

Category
AI & Machine Learning (2)
,
Required Skills
Talend
Redshift
MySQL
Data Science
Apache Spark
Apache Kafka
Postgres
Microservices
Redis
MongoDB
Hadoop
Oracle
Databricks
Cassandra
Snowflake
Requirements
  • 10+ years of Data Engineering experience.
  • Over 5 years of experience in designing and leading Data Warehouse, Lakehouse and analytical solutions using platforms such as Microsoft Fabric, Azure Synapse Analytics, Snowflake, and Teradata.
  • Strong Experience in large database solutions, on premises, cloud, and hybrid implementations.
  • Strong experience in Serverless Architecture/Microservices.
  • Strong experience of full application life cycle design tools and methodologies.
  • Strong experience in one or more technologies under each of the following: Big Data stack: Spark, Spark Streaming, Databricks, Kafka, Hadoop, Hive, HDInsight.
  • Database Stack: Strong database experience with OLTP/OLAP, data storage mechanism and architecture, Columnar (RedShift, Vertica), OSS (MySQL, PostgreSQL and MariaDB), CosmosDB (MongoDB, Redis, Cassandra - key-value stores, graph databases, RDF triple stores).
  • Level 400 knowledge in one (and preferably more) of the database engines, engine stack including engine level debugging for ex; CXPACKET analysis, Disk throttling, storage, IO contentions, Network contentions, performance optimizations.
  • Strong experience in Data Engineering: Data Architecture: Dimensional Modelling, Lambda/Kappa architecture, Time series data, Azure Stream Analytics, Azure Analysis Service.
  • Must have experience in two or more relational DBMS (Microsoft SQL, Azure Synapse and/or Oracle, Teradata, Netezza).
  • Ability to design and drive large Data Migrations using necessary ETL technologies: ADF, SSIS, Talend, Pentaho, Informatica. Drive multi-tenant database designs, security hardening of the data platform.
  • Expertise in implementation of Data governance practices using either open source or proprietary tools.
  • Expertise in Data Ops.
  • Good experience in Agile Methodology & Expertise in Azure DevOps and Setting examples for good engineering practices and coding along the way through automation where possible.
Responsibilities
  • Works as a Individual contributor or Leads the engineering team and provides accurate time estimates, sets work priorities, and makes project changes and trade-offs necessary for a successful release.
  • Applies technical experience and industry-specific knowledge to develop solutions, based on an analysis of how the proposed approach affects the business objectives of customers and partners.
  • Works to accelerate the value proposition of customer or partner engagements by helping to design, develop, and deploy solutions, based on Microsoft technologies and methodologies.
  • Applies information-compliance and assurance policies to ensure stakeholder confidence.
  • Responsible for the overall efficacy and quality of a project team’s technical delivery within his or her engagements.
  • Defines dependencies and risks that go beyond the immediate scope and timeframe for a complex project. Develops contingency plans, risk-mitigation implementation criteria, and alternative strategies to manage short- and long-term risks and manages technical escalations.
  • Identifies a best practice approach for a project, across a wide scope of technical issues, and develops or reuses intellectual capital with customers, world-wide, and for programs and initiatives across Microsoft.
  • Drives opportunities to expand or accelerate the adoption and consumption of the cloud and Microsoft technologies. Collaborates, as appropriate, with peers and other teams (e.g., Sales, account-aligned team) to scale the business with existing high-stake or strategic customers, by articulating/developing value propositions of strategic Microsoft products and services.
  • Drives innovation and digital transformation. Ensures the use of the existing intellectual property (IP) and improves predictability.
  • Defines the technology strategy for large and complex engagements, so that customers or partners realize the full value of investment. Responsible for implementing the technology strategy.
  • Drives new ways of thinking, across the division and subsidiary, to improve quality, engineering productivity, and responsiveness to feedback and changing priorities.
Desired Qualifications
  • Good to have AI/ML experience: Experience in building and operationalizing ML pipelines, including feature engineering, model training, evaluation, and deployment (MLOps).
  • Hands-on experience in Natural Language Processing, Document Intelligence & Indexing or Customer Vision or RAG Framework or AI Search.
  • Good understanding of Prompt Engineering Basics.
  • Experience integrating AI models into enterprise data platforms and driving intelligent automation across business processes.
  • Familiarity with Responsible AI principles, including fairness, interpretability, and governance of AI models.
  • Foundational Understanding of deep learning frameworks such as TensorFlow, PyTorch, LangChain/LangGraph and ONNX, with practical experience in NLP, computer vision, or time-series forecasting.

Microsoft develops software, devices, and cloud services. Windows is an operating system that runs on personal computers, Office provides productivity apps, and Azure offers cloud computing and developer tools. The company differentiates itself with a large, integrated ecosystem of software, devices, and services, plus long-standing partnerships with PC makers and a broad enterprise footprint. Its goal is to put a computer on every desk and in every home, and to extend that reach through cloud services, professional networking (LinkedIn), and gaming.

Company Size

10,001+

Company Stage

IPO

Headquarters

Redmond, Washington

Founded

1975

Simplify Jobs

Simplify's Take

What believers are saying

  • AI revenue hits $37 billion run rate, up 123% year-over-year.
  • Work Trend Index reveals 67% AI impact from organizational redesign opportunities.
  • Shenzhen center leverages AI for Chinese firms' global expansion.

What critics are saying

  • CVE-2026-41089 wormable Netlogon flaw compromises domain controllers post-May 2026.
  • OpenAI restructuring dilutes Microsoft's 27% stake, slashing $92 billion return.
  • GDPR fines hit Azure for hosting West Bank surveillance data in Europe.

What makes Microsoft unique

  • MDASH AI system discovered 16 of 137 vulnerabilities patched in May 2026.
  • Azure achieves 40% growth in Q1 2026, surpassing AWS's 28%.
  • Marketplace integrations like SOFTRAX enable seamless partner monetization.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Company Match

Professional Development Budget

Conference Attendance Budget

Flexible Work Hours

Remote Work Options

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

-1%

2 year growth

0%
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