Lead Data Engineer - Data Modeler

Responsibilities

• Design, develop, and maintain scalable, high-quality data models in a centralized data warehouse (primary focus) • Translate business requirements into well-structured, reusable data models that support analytics and downstream applications • Define and enforce data modeling standards, naming conventions, and best practices across domains • Lead and contribute to data standardization initiatives to ensure consistency and interoperability of data assets • Build and maintain data pipelines that support and operationalize data models (ingestion, transformation, and delivery) • Develop pipelines that transform raw data into clean, well-modeled, analytics-ready datasets • Collaborate with Product, Engineering, and Program teams to deliver endto-end data solutions (models + pipelines) • Optimize data models and pipelines for performance, scalability, and cost efficiency • Implement processes for data validation, quality monitoring, and reliability • Write high-quality, testable code; adopt TDD and contribute to engineering documentation and best practices • Perform root cause analysis on data and pipeline issues to improve system robustness About you: • 10+ years of experience and a bachelor’s degree in Computer Science, Information Systems, or related field; or equivalent experience • Strong expertise in data modeling (dimensional modeling, warehouse design, normalization techniques) • Proven experience designing and implementing data models in centralized/cloud data warehouses (Databricks, Snowflake, Redshift, etc.) • Solid experience in data engineering and pipeline development to support modeled data layers • 5+ years of experience with Databricks and DBT • Experience with orchestration tools such as Airflow or Dagster • In-depth experience with distributed systems such as Spark • Strong programming skills (Java, Scala, Python) with experience building production-grade data pipelines • Experience with AWS cloud services (EC2, EMR, RDS) • Strong understanding of data standardization, data governance, and data quality best practices • Experience with Git, JIRA, Jenkins, and CI/CD pipelines • Experience working with cross-functional teams in a dynamic environment • You are passionate about data modeling and designing scalable, wellstructured datasets • You are equally comfortable implementing pipelines that bring those models to life • You think in terms of data consistency, reusability, and long-term maintainability • You value clean design, simplicity, and high-quality engineering practices • You have a track record of delivering reliable, well-modeled, production - ready data solutions