Senior Data Engineer - Data Platform

ROLE SUMMARY

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 the company.
• Data Marketplace: Evaluate and implement necessary system integrations to drive Company’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.