Technical Lead – Data

This is a fully remote position, open to applicants in India.

📋 Description

• Develop and implement advanced data models utilizing SQL.

• Collaborate closely with fellow Software Engineers to ensure robust and scalable implementations.

• Serve as the technical authority on our team for all data-related matters, particularly as the data team continues to grow and evolve.

• Bring in new technologies to advance and improve our data pipeline capabilities.

• Create documentation for data models, architectural choices, and data dictionaries to facilitate collaboration, maintainability, and usability of our analytics platforms and code.

• Support governance, provide guidance, conduct code reviews, and manage access controls to maintain consistency, quality, and business confidentiality while scaling analytics access across the organization and to customers.

• Externally: familiarize yourself with our application data schema and develop expertise in transforming it to enhance customer decision-making with data.

• Internally: mentor product and development teams, advising on instrumentation and establishing development foundations for product usage reporting.

• Complete projects with minimal oversight while knowing when and how to collaborate with others.

• Construct scalable, high-performance infrastructure for delivering clear business insights from diverse raw data sources.

⛳️ Requirements

• Bachelor's degree in Computer Science or equivalent professional experience.

• 7-11 years of experience in building ETL (Extraction Transform Load) or ELT (Extraction Load Transform) pipelines from the ground up.

• Proficient in relational databases (PostgreSQL preferred), data modeling, and database design.

• Strong skills in Python and experience in developing production web applications using Python.

• Familiarity with cloud-based services (AWS RDS preferred).

• Experience in developing or administering BI/data visualization platforms (e.g., Looker, Tableau, PowerBI, Mode, Data Studio, Domo, QlikView, etc.).

• Basic knowledge of data warehouses such as Amazon Redshift, Google BigQuery, Snowflake, etc.

• Proven ability to convert data into clear, actionable narratives and communicate relevant opportunities and challenges to stakeholders.

• You must be adaptable and flexible, as you will be working in a fast-paced startup environment.

🏝️ Benefits

• We invest significantly in digital-first operations, enabling our teams to collaborate efficiently across 27 U.S. states, 2 Canadian provinces, India, Luxembourg, and England.

• Additionally, we maintain physical offices in San Francisco, New York City, Mumbai, and Bangalore for employees who prefer to work in an office setting either part-time or full-time.