Team Lead, Data Engineering & BI

Seeking a Data Engineering & BI Team Lead to coordinate a complementary team crafting data solutions. This role blends hands-on technical expertise with leadership responsibilities, ensuring high-quality delivery across data pipelines, models, and dashboards. You will collaborate closely with collaborators across product, analytics, and business functions to drive data-driven decision making.

What You'll Do 

• Lead a team of Data Engineers and BI Developers, encouraging collaboration, mentoring, and career growth.

• Lead workload distribution, sprint planning, and delivery timelines.

• Lead all aspects of the development of robust data pipelines, transformations, and cloud-based architectures (Snowflake, dbt, Airflow).

• Make sure BI dashboards and reporting solutions (Power BI or similar software) meet business needs and uphold consistency in indicators/metrics.

• Define and enforce protocols in coding, testing, documentation, and performance optimization.

• Collaborate with collaborators to translate business needs into scalable technical solutions.

• Maintain a balance between hands-on contribution and strategic leadership.

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What We're Looking For

• 5+ years of experience in data engineering, BI, or analytics development.

• At least 2 years in a leadership role within data-focused teams (leading engineers or BI developers).

• Solid expertise in SQL and data modeling.

• Proficient in using up-to-date data stack tools such as Snowflake, dbt, and Airflow (or comparable options).

• Strong knowledge of BI tools (Power BI preferred, Tableau/Looker a plus).

• Familiarity with Python or other programming languages for data workflows.

• Demonstrated success in prioritizing tasks, collaborating with various parties, and achieving goals in Agile/Scrum environments.

• Excellent communication and leadership skills.

Nice to Have

• Experience with Redis, Celery, or distributed data workflows.

• Familiarity with CI/CD, version control, and cloud platforms (AWS, Azure, GCP).

• Industry background in gaming, entertainment, or large-scale data environments.