Senior Data Engineer - Data Platform

• *JD\-Senior Data Engineer \- Data Platform**

• *Discipline**: Engineering / Computer Science

• *Exp:10\+ years**

• *Location:Gurgaon,WFO**

• *ROLE SUMMARY**

As a successful candidate, you will play a pivotal role in executing Org’s strategic vision for its enterprise data platform, self\-serve analytics, and data marketplace across Pan\-Org portfolios and ecosystems. You will be a core member of the data platform squad, responsible for evolving engineering practices and delivering foundational data capabilities using Snowflake or similar cloud\-native technologies.

This is a high\-impact, senior\-level role requiring deep technical expertise, strong leadership, and a comprehensive understanding of industry standards in data and cloud engineering. You will lead the design and implementation of scalable, secure, and high\-performance data solutions that enable business\-critical use cases and empower teams across the organization.

Your ultimate objective is to deliver best\-in\-class technology solutions that drive measurable business outcomes through robust data governance, seamless reporting, and platform reliability. You will collaborate with cross\-functional stakeholders, mentor junior engineers, and influence architectural decisions to ensure the data platform remains agile, innovative, and future\-ready.

• *ACCOUNTABILITIES**

• Engineering: Design and Implement technology solutions around data and software engineers. Work closely with Technical Lead from the team to drive technical strategy, ensuring alignment with vision and goals of Pan\-Org.
• Data Marketplace: Evaluate and implement necessary system integrations to drive Org’s vision around data\-as\-product and data discovery for business users.
• Partner with technical program managers to create backlog of work for team and report on critical initiatives.
• DevOps: Develop effective DevOps practice to improve developer experience and faster time\-to\-market.
• Champion data governance, DevOps practices, and platform engineering to accelerate time\-to\-market and improve developer experience.
• Collaborate with cross\-functional teams to deliver business\-critical use cases and enable self\-serve analytics.
• Work closely with data analysts, business analysts, and other stakeholders to understand their needs and translate them into technical data solutions.
• Monitor data processes and workflows, proactively identify and resolve performance bottlenecks, and troubleshoot data\-related issues.

• *COMPETENCIES/QUALIFICATIONS**

 8\+ years of experience in data\-driven organizations, with a focus on end\-to\-end, large\-scale initiatives.

 Deep technical understanding of data warehouse technologies such as Snowflake, Starburst Trino, PostgreSQL, and SQL Server (SSMS).

 Workflow orchestration experience using Apache NiFi or similar tools.

 Proficient in solution design and implementation of scalable data pipelines, data lakes, and data warehouses.

 Strong programming skills in **Python and SQL**.

 Good knowledge of **AWS** services, including S3, EC2, EKS, and RDS.

 Strong version control and collaboration practices, including Git, code reviews, and CI/CD workflows.

 Functional knowledge of the asset management domain, with understanding of concepts such as positions, transactions, pricing, valuation, and accounting.

 Proficient in using **AI\-**assisted development tools, such as GitHub Copilot and Claude Code.

 Demonstrated ability to communicate, negotiate, influence, and manage competing priorities across diverse user groups and stakeholders.

 Strong decision\-making skills, with an outcome\-driven mindset and the ability to influence, lead change, and communicate effectively.

Pay: ₹1,500,000\.00 \- ₹3,000,000\.00 per year

Benefits

• Paid sick time
• Paid time off

Application Question(s)

• Must have worked on Python,AWS,SQL \& AI
• Notice Period
• Expected CTC
• Must be willing to work from Gurgaon office

Work Location: In person