A recognized media services firm is actively seeking an experienced professional to join their staff as the new Director, Data Engineering.
*** This is a Hybrid opportunity requiring the qualified professional to work onsite at least 3 days per week .***
Responsibilities:
- Lead high-performing data engineering squads, setting clear objectives, fostering a collaborative environment, and driving team growth.
- Lead the design, development, and maintenance of scalable data pipelines and architectures across internal, third-party, and cloud-based sources
- Ensure data accuracy, completeness, and consistency across various sources
- Collaborate with data scientists and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision-making across the organization
- Implement best practices for data engineering, including performance tuning, monitoring, and documentation
- Evaluate and adopt emerging technologies to improve data engineering capabilities
- Foster the growth of your team members through coaching, mentorship, and opportunities for technical development.
- Contribute to strategic planning and execution of data initiatives aligned with business goals
Qualifications:
- 6+ years of experience in Data Engineering with at least 2 years of experience in a Leadership role
- Experience with Media-specific Data platforms, including Content Management systems, Ad Tech, and Digital Media Analytics tools
- Proficiency in Programming languages such as Python, Java, or Scala for data processing tasks
- Experience with Cloud platforms (e.g., AWS, Google Cloud, Azure) and Cloud data warehouses (e.g., Redshift, Snowflake, Databricks.)
- Expertise in SQL/ NoSQL databases (e.g., PostgreSQL, MongoDB, BigQuery, or similar), and big data technologies (e.g., Hadoop, Spark, Kafka, etc.)
- Strong background in designing and building complex, high-performance data systems, including data lakes, data warehouses, and real-time data pipelines
- Familiarity with data visualization tools like Tableau or Looker
- Experience with machine learning and data science workflows
- Familiarity with media industry standards and analytics platforms (e.g., Nielsen, comScore, etc.).
- Exposure to agile development practices and project management tools (e.g., Jira, Confluence
- Excellent communication skills to collaborate with other teams and stakeholders
