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Job Description
Structured overview of role & requirementsAbout This Role
Lead and define the organization's data strategy and roadmap, ensuring alignment with company goals.
Manage and grow a data engineering team while overseeing design, development, and maintenance of scalable ETL/ELT pipelines and data architecture across cloud platforms (AWS, GCP, Azure).
Establish and enforce data governance policies; ensure data quality, security, and reliability to enable stakeholders with accurate and timely data for decision-making.
Minimum Requirements
7+ years of experience in data engineering, analytics, or related roles with at least 2 years in leadership.
Strong expertise in SQL, Python, PySpark, and modern data frameworks; hands-on with Databricks, BigQuery, Snowflake, Redshift, and orchestration tools like Airflow or Prefect.
Deep understanding of data governance, compliance standards (GDPR/CCPA), and data security practices.
Work Experience Required: 7+ years in relevant roles with leadership experience.
Ideal Candidate Profile
Experienced leader capable of managing and scaling data teams in fast-paced, data-driven environments such as SaaS, adtech, or consumer data platforms.
Proficient in architecting and operating large scale batch and streaming data pipelines with cloud platforms.
Ability to collaborate cross-functionally with product, engineering, and business stakeholders to drive data initiatives tied directly to company objectives.