Data Architecture, Data Engineering Leader

Job not on LinkedIn

🔥 1 minute ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Underscore Marketing

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2002

📣 Marketing

💊 Pharmaceuticals

☁️ SaaS

Marketing • Pharmaceuticals • SaaS

Underscore Marketing is a results-focused marketing agency that specializes in promotional strategies and omnichannel media for the life sciences and pharmaceutical industry. It combines data-driven strategic planning, AI/ML-powered analytics (the PINNACLE Planning Suite), and media AOR services to drive payer and HCP engagement, patient activation, and optimized promotional spend. The firm positions itself as an extension of brand teams, emphasizing measurable performance, budget optimization, and integrated omnichannel campaigns to achieve business outcomes.

📋 Description

• Design, build and run the data platform powering media, analytics, client reporting and new data products • Own enterprise data architecture and the data roadmap in line with company priorities and governance • Design ingestion, storage, data layers, models, integrations and serving layers for reporting and products • Document architecture, data flows and source mappings • Set standards for data modeling, pipeline design, naming, code quality, testing and deployment • Evaluate data technologies and vendors, make build-versus-buy recommendations, and manage platform cost and performance • Own the Google Cloud data platform, including BigQuery, Snowflake and Redshift • Consolidate reporting and analytics platforms into a single source of truth • Design and build scalable batch and streaming pipelines using APIs, SFTP, ETL and integration tools • Lead legacy data-source migrations and standardize recurring data preparation and client data delivery • Build reusable, product-ready data foundations for new offerings • Partner with Product Owners and business leaders to define data requirements, models and delivery plans • Evaluate data feasibility, source availability, quality, licensing, compliance and costs for new products • Build data services and APIs for client-facing applications, portals and dashboards • Design multi-client solutions with tenant separation, entitlements and configurable data delivery • Align on data contracts, versioning and service levels for product datasets • Identify, enrich and package proprietary data assets into new offerings • Automate ingestion, transformation, validation, refreshes and client data feeds • Use AI tools and agents to accelerate pipeline development, source onboarding, anomaly detection, quality checks and failure triage • Establish data quality, validation and reconciliation frameworks • Implement monitoring and observability with automated alerting for freshness, volume, schema changes and data quality • Define service levels, incident management and root-cause processes for data issues • Build, lead and mentor data engineers and analysts, including distributed team members in Kraków, Poland • Introduce version control, CI/CD, code review, documentation, ticketing, sprints and regular release cycles • Provide technical direction to internal contributors and external partners • Translate complex data topics into recommendations for executives and non-technical stakeholders • Partner with Media, Strategy, Client Services, Product, Infrastructure, Security and Compliance teams

🎯 Requirements

• Must be located in the United States • Prefer candidates who reside in the EST time zone or are willing to work EST hours • 16+ years in data engineering or data architecture, including 5+ years leading technical teams • Proven track record designing and running enterprise data platforms in the cloud, preferably Google Cloud and BigQuery • Experience building data foundations that support commercial data products or client-facing platforms • Strong hands-on skills in SQL and Python, data modeling, and pipeline orchestration and transformation using tools such as Airflow, Cloud Composer or dbt • Experience with data quality, observability and governance tooling and practices • Solid understanding of data security, privacy and compliance, with experience handling regulated or sensitive data • Experience leading platform migrations and consolidating multiple data sources into a single source of truth • Ability to set direction in an organization early in its technical maturity, building structure, documentation and standards from the ground up • Excellent communication skills and ability to work with business stakeholders and lead teams across time zones • Preferred: experience in media, advertising, marketing technology, healthcare or pharmaceutical marketing • Preferred: familiarity with HCP data, NPI matching, media and campaign data, and marketing analytics • Preferred: experience with data product management practices, data contracts and multi-tenant data delivery • Preferred: familiarity with third-party data licensing and data partnership models • Preferred: hands-on experience with AI-assisted development tools and agents such as GitHub Copilot, Codex or Gemini in BigQuery • Preferred: experience with data observability platforms and automated data quality testing • Preferred: experience with BI platforms such as Tableau, Power BI or Looker and ETL/integration tools such as Fivetran or Airbyte • Preferred: experience with data catalog and lineage tools such as Dataplex, Collibra or Atlan • Preferred: Google Cloud Professional Data Engineer or Cloud Architect certification • Preferred: experience leading distributed or offshore teams, including in Europe

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