Software Data Engineering Manager - Reference Data

The Role

We are seeking an experienced and highly motivated Data Engineering Manager to lead the Reference Data Team in India, a critical component of the Addepar Platform team. The Addepar Platform is a comprehensive data fabric that provides a single source of truth for our product set, encompassing a centralized and self-describing repository, API driven data services, integration pipeline, analytics infrastructure, warehousing solutions, and operating tools.

The Reference Data Team is responsible for the acquisition, conversion, cleansing, reconciliation, modeling, tooling, and infrastructure related to the integration of market and security master data from third-party data providers. The team is critical to our core business, enabling alignment across public and alternative investment data products and empowering clients to effectively manage their investment portfolios.

As a Data Engineering Manager, you will play a crucial role in leading and managing our engineering efforts, collaborating closely with product counterparts in an agile environment to drive business outcomes. Your responsibilities will include leading a team to deliver complex engineering projects using a modern and diverse technology stack, including PySpark, Python, AWS, Terraform, Java, Kubernetes and more.

What You’ll Do

• Drive the technical direction for reference data team in Pune in close alignment with your direct peers in other regions and the wider engineering community.
• Build and manage a team of exceptional engineers.
• Partner with multi-functional teams to design, develop, and deploy scalable data solutions that meet client requirements on time.
• Lead a team to build pipelines that support the ingestion, analysis, and enrichment of financial data by collaborating with business data analysts
• Advocate for standard methodologies, find opportunities for automation and optimizations in code and processes to increase the throughput and accuracy of data
• Develop and maintain efficient process controls and accurate metrics that improve data quality as well as increase operational efficiency
• Working in a fast-paced, dynamic environment to deliver high-quality results and drive continuous improvement.

Who You Are 

• Minimum 10+ years of overall software engineering industry experience
• Minimum 2+ years of proven experience leading data engineering teams and 5+ years of professional data engineering experience as an individual contributor
• A computer science degree or equivalent experience
• Strong problem-solving and decision-making skills
• Working knowledge of at least one object oriented programming language (PySpark, Python, Java), relational databases, SQL and data pipelines
• Knowledge of financial concepts (e.g., stocks, bonds, etc.) is helpful but not necessary
• Previous exposure to data modelling and visualization is a plus
• Passion for the world of FinTech and solving previously intractable problems at the heart of investment management is a plus
• Experience working in a SaaS product setup preferred but not necessary

Important Note - This is a Hybrid role which typically requires 3 days work from our Pune office . (WFO)