Director, Data Engineering

Summary

Join Avalere Health as the Director of Data Engineering and lead the development of a modern, scalable data platform. Partner with cross-functional stakeholders to build robust data pipelines and data assets using GCP and Snowflake. Drive data engineering initiatives, integrating multiple data sources and harmonizing data models. Lead a team of engineers, overseeing project delivery and ensuring data ecosystem reliability. Collaborate with data scientists, business analysts, and other teams to deliver holistic data solutions. Continuously improve data workflows and stay current with industry trends. Ensure data accuracy, robust testing, and compliance with standards like HIPAA, GDPR, and CCPA.

Requirements

• 4+ years of experience in data engineering, with expertise in complex SQL, data modeling, and performance optimization across large-scale relational databases
• 2+ years of experience designing and automating ETL pipelines using tools such as dbt, Airflow, and custom API integrations
• Proficient in modern data platforms including Snowflake, Google Cloud Platform (GCP), BigQuery, and PostgreSQL
• Strong understanding of data warehousing, cloud infrastructure, IAM, encryption, and governance standards
• Skilled in using Git, CI/CD pipelines, and software development lifecycle practices to support reliable and scalable data deployments
• Demonstrated ability to translate business requirements into scalable data solutions, with clear technical documentation and strong stakeholder communication
• Hands-on experience with data visualization tools (e.g., Tableau, Power BI, Looker) and advanced proficiency in SQL and Excel
• Strong communication and presentation skills, with experience delivering insights and strategy support to both technical and executive stakeholders
• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field — or equivalent professional experience

Responsibilities

• Lead application support services for data analytics platforms such as Tableau, Power BI, Looker, and others
• Manage internal engineering teams and partner with external vendors to ensure operational excellence and platform reliability
• Oversee day-to-day support operations, break/fix routines, and performance monitoring of analytics tools and data platforms
• Work in close collaboration with business leadership to define and execute the analytics agenda
• Support continuous quality improvement initiatives by developing and monitoring performance metrics
• Lead the design and implementation of data architecture layers including ingestion, transformation, unification, and consumption
• Support the development of analytics database structures, including tables, views, and schemas, ensuring scalability and performance
• Execute efficient, well-documented SQL development for analytics and BI applications
• Gather, assess, and interpret data from transactional databases, operational data stores, external systems, and reporting environments
• Maintain high standards of data quality, identifying and resolving data integrity issues in collaboration with IT and QA teams
• Work cross-functionally with data scientists, business analysts, project managers, media operations, and QA teams to deliver holistic data solutions
• Create and maintain thorough technical documentation of all data engineering processes and solutions
• Actively contribute to code reviews and promote best practices in data engineering and development
• Identify opportunities for automation, efficiency, sustainability, and standardization in data workflows
• Stay current with industry trends and lead the evaluation and adoption of new technologies and frameworks
• Support the implementation of data governance, compliance, and security best practices (HIPAA, GDPR, CCPA)
• Collaborate with QA teams to ensure data accuracy, robust test coverage, and ongoing quality improvements
• Identify risks, develop mitigation strategies, and implement solutions to support data engineering objectives

Preferred Qualifications

• Familiarity with marketing analytics tools (e.g., Google Analytics, Campaign Manager, Facebook Ads) and associated data structures
• Industry experience with healthcare data and understanding of related compliance frameworks including HIPAA, GDPR, and CCPA
• Experience working in hybrid Agile/Waterfall environments, collaborating with cross-functional teams including data science, QA, and business analysts

Benefits

• Company pension/retirement plan
• Private medical insurance
• Comprehensive employee wellbeing initiatives
• Compelling time-off policy