Data Engineer Lead

Job Summary:

As a Lead Data Engineer, you will play a crucial role in designing, building, and optimizing cloud-based data pipelines and platforms that support enterprise analytics, AI/ML, and business intelligence initiatives.

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Job Responsibilities

Cloud Data Engineering: Develop and maintain scalable, high-performance data pipelines and workflows on cloud platforms such as Snowflake and Databricks.

- Data Modeling & Transformation: Implement dimensional, canonical, and data vault models using tools like dbt and ER modeling platforms to support analytics and reporting.

- Platform Development: Support the development and optimization of enterprise-scale data lakes and data warehouses (100+ TB) for global business operations.

- Data Quality & Governance: Collaborate with data governance teams to implement metadata management, data quality checks, and master data integration.

- Cross-Functional Collaboration: Work closely with data architects, product managers, and agile teams to deliver robust data solutions aligned with enterprise standards.

- Automation & Orchestration: Build and maintain automated ELT/ETL pipelines using tools like Airflow, Fivetran, dbt, and Python, to ensure reliability and efficiency.

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Experience: 7+ years in data engineering or related roles with hands-on experience in cloud data platforms.

- Education: Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent professional experience.

- Technical Skills: Strong SQL and Python skills for data transformation and automation. Experience with Snowflake, Databricks, or similar cloud data platforms. Familiarity with orchestration tools (Airflow, dbt, and data modeling tools (ERWin, E/R Studio). Understanding of data preparation for AI/ML use cases and BI reporting. Exposure to DevOps and agile development practices.

- Leadership & Delivery: Demonstrated ability to lead small teams or mentor junior engineers. Strong problem-solving skills and a proactive mindset. Ability to manage multiple priorities and deliver high-quality results on time.

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