Head of Data Engineering
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Role details
Tech stack
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Job description
Weâre on the hunt for a hands-on, highly technical Head of Data Engineering to evolve and scale Overwolfâs data foundation. As our Data Systems Maestro, youâll own the systems that power decision-making across Overwolf - including our data warehouse, pipelines, platform, and the solutions behind internal teams and user-facing products. Youâll lead a talented data team while shaping a reliable, scalable ecosystem used by creators, mod authors, and millions of gamers worldwide. So if you thrive on turning complex data challenges into elegant solutions, love building high-performing teams, and want to help power the future of gaming and UGC - join our quest. Responsibilities: In this role, you will:
- Engineer, maintain, and scale Overwolfâs core data warehouse, pipelines, and data platform.
- Design and manage reliable ETL and ELT flows across databases, APIs, event streams, business systems, and data lakes.
- Own data quality, event tracking, governance, and the companyâs source-of-truth systems.
- Build data solutions for internal teams and external user-facing products used by creators, mod authors, and millions of gamers.
- Partner with business teams to transform data needs into robust self-serve analytics and AI-assisted insights.
- Lead and mentor data engineers, BI developers, and analysts while raising the technical bar across the data organization.
- Champion accessible data tooling and help foster a data-driven culture across the company.
Requirements
- Bachelorâs degree in Computer Science or a related technical field.
- 7+ years of data engineering experience, preferably in a startup or fast-paced technology company.
- 4+ years of management experience, preferably in B2B2C, marketplace, SaaS, or consumer-scale environments.
- Proven experience building and leading technical data teams, including data engineers, BI developers, and analysts.
- Strong hands-on experience designing and scaling cloud data warehouses such as BigQuery or Snowflake.
- Deep expertise in SQL, data modeling, ETL and ELT pipelines, orchestration tools such as Airflow, and analytics-ready data models.
- Experience owning data quality, governance, event tracking, and company-wide source-of-truth systems.
- Strong understanding of SaaS metrics, marketplace dynamics, and user behavior analytics.
- Excellent communication skills with the ability to influence technical and business stakeholders at all levels.
Bonus Points
- Passion for gaming, creators, and the creator economy.
- Ability to tame wild data dragons, conquer pipeline dungeons, and keep dashboards flowing before your first cup of mana - or coffee, for that matter.
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