Back
Strong Tier-1 brand and Hyderabad metro location increase candidate density despite senior, specialized director scope.
Core data engineering is transferable, but director‑level MarTech and Snowflake/lakehouse requirements increase domain specificity.
Explicit 12+ years, 6+ years management, and specific Snowflake/lakehouse tooling make filters strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead the Marketing Technology Data Engineering team responsible for data platforms supporting marketing analytics, attribution, and activation.
Architect and maintain scalable data pipelines and data models in warehouse and lakehouse environments, ensuring high-quality data products.
Manage and develop 3+ senior data engineers, set engineering standards, and collaborate cross-functionally with marketing, analytics, and engineering stakeholders.
12+ years of data engineering experience including cloud data warehouse/lakehouse architecture.
6+ years of people management experience, ideally managing senior or staff-level engineers.
Proficiency in SQL and Python; hands-on experience with Snowflake, lakehouse table formats (Iceberg or similar), and pipeline orchestration tools (Airflow, dbt, or similar).
Experience integrating third-party marketing/ad platform data is a strong plus but not mandatory.
Experienced leader capable of setting technical direction and engineering governance in a marketing technology data environment.
Strong stakeholder management skills with ability to translate business requirements into technical solutions for marketing and data science teams.
Comfortable operating in cloud-based data ecosystems with expertise in scalable data platform architecture, ideally with exposure to marketing or CRM data systems.