Data Architecture & Data Engineering Leader

We are seeking an experienced, hands-on technical leader to shape and oversee the enterprise data architecture and engineering strategy. In this pivotal role, you will lead the development of a scalable, secure and high-performing cloud data platform that supports media operations, analytics, client reporting and innovative data products. You will define the long-term data roadmap, modernize existing infrastructure and establish a reliable, unified data foundation. Working closely with cross-functional leaders across Product, Media, Strategy and Client Services, you will transform complex business needs into valuable, data-driven solutions. You will also build and mentor a growing data team, establish best-in-class engineering practices and drive operational excellence. This is an opportunity to influence the organization's technical direction while enabling the development of new, commercially scalable data offerings.

• 16+ years of professional experience in data engineering or data architecture, including at least 5 years in technical leadership or team management roles.

• Demonstrated experience designing, implementing and operating enterprise-scale cloud data platforms, preferably within the Google Cloud ecosystem and BigQuery.

• Proven ability to build data architectures that support commercial data products, client-facing platforms and advanced analytics, beyond traditional internal reporting environments.

• Strong hands-on proficiency in SQL and Python, with extensive knowledge of data modeling approaches, including dimensional, layered and medallion architectures.

• Experience with data pipeline orchestration and transformation technologies such as Airflow, Cloud Composer and dbt.

• Solid understanding of cloud data warehouses, including BigQuery, Snowflake and Amazon Redshift, as well as modern data integration and ETL solutions.

• Proven track record leading complex data migrations, platform modernization initiatives and the consolidation of multiple data sources into unified architectures.

• Experience implementing data quality frameworks, observability solutions, automated testing and monitoring tools.

• Strong knowledge of data governance, security, privacy and regulatory compliance, with practical experience managing sensitive or regulated data under frameworks such as HIPAA, GDPR, CCPA and SOC 2.

• Ability to establish technical standards, processes, documentation and governance structures in organizations at an early stage of technical maturity.

• Strong strategic thinking, problem-solving and decision-making skills, with the ability to balance architectural vision and hands-on technical execution.

• Excellent communication and stakeholder management skills, including the ability to translate complex technical concepts into actionable business recommendations.

• Demonstrated ability to build high-performing teams, mentor technical talent and coordinate delivery across different time zones.

• Experience in media, advertising, marketing technology or healthcare and pharmaceutical marketing is highly desirable.

• Familiarity with healthcare professional (HCP) data, NPI matching, media and campaign data, audience intelligence and marketing analytics is a plus.

• Knowledge of data product management, data contracts, versioning, multi-tenant architectures and configurable data delivery models is advantageous.

• Experience managing third-party data licensing, vendor relationships and data partnership models is beneficial.

• Hands-on familiarity with AI-assisted development tools and agents, such as GitHub Copilot, Codex or Gemini in BigQuery, is preferred.

• Experience with business intelligence platforms such as Tableau, Power BI or Looker, and integration tools such as Fivetran or Airbyte, is an advantage.

• Familiarity with data cataloging and lineage solutions such as Dataplex, Collibra or Atlan is desirable.

• Google Cloud Professional Data Engineer or Cloud Architect certification is a plus.

• Experience managing distributed or offshore engineering teams, particularly across European locations, is preferred.

• Must be based in the United States and comfortable working remotely. Candidates located in the Eastern Time Zone, or willing to work EST hours, are strongly preferred.