Engineering Manager - Data Platform

Job Description

The Role Be at the forefront of building the modern data platform at Addepar! Addepar is hiring a hands-on engineering manager who will bring to bear their expertise, leadership, and platform management skills to build the core infrastructure and toolings for the modern data platform of Addepar. What You’ll Do Work in partnership with engineering partners and other platform users to identify requirements and priorities, and map out solutions for challenging technology and workflow problems Make Addepar’s Data Lakehouse the central financial data hub by establishing integrations with various data sources Build and lead a high-performing team of engineers in India who can design, develop, and deploy data Lakehouse solutions with a focus on infrastructure and data tooling and integrations. Lay a solid foundation of the software architecture for the team by staying hands-on in system design and code development Who You Are Minimum 2+ years of experience in software engineering management and minimum 8+ years of relevant work experience in data platform development and management, with a strong foundation in data engineering, cloud infrastructure and platform toolings for internal teams This is a hands-on engineering manager role where the candidate will be expected to code, design and manage a team. Must have experience with Python. A confident and positive outlook with low ego; high degree of ingenuity, resourcefulness, and problem-solving skills Comfortable working in a cloud context, with automated infrastructure and service-oriented architecture A product and customer oriented mindset Our engineering stack has PySpark on Databricks for data engineering, terraform for infrastructure, streamlit for light-weight tooling apps; while experience in these technologies is preferred, there is flexibility to cross-train if coming from another similar context. Practical knowledge of agile practices with an outlook that prioritises experimentation and iteration combined with an ability to guide teams toward activities and processes that facilitate optimal outcomes Important Note - This role requires working from our Pune office 3 days a week (Hybrid work model)