Data Architecture & Data Engineering Leader
New
U
UnderscoreData analytics
Remote, MUST be located in the United States., Prefer candidates who reside in the EST time zone or are willing to work EST hours.Full-TimeLead
Salary not disclosed
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Job Details
- Experience
- 16+ years in data engineering or data architecture, including 5+ years leading technical teams.
- Required Skills
- PythonSQLGCPAirflowData modelingBigQuerydbt
Requirements
- Bring 16+ years of experience in data engineering or data architecture, including 5+ years leading technical teams.
- Have a proven track record designing and running enterprise cloud data platforms; Google Cloud and BigQuery are preferred.
- Have experience building data foundations for commercial data products or client-facing platforms, not only internal reporting.
- Bring hands-on skills in SQL, Python, data modeling and pipeline orchestration and transformation, such as Airflow, Cloud Composer or dbt.
- Have experience with data quality, observability and governance tools and practices.
- Understand data security, privacy and compliance, with experience handling regulated or sensitive data.
- Have led platform migrations and consolidated multiple data sources into a single source of truth.
- Be able to establish technical structure, documentation and standards in an organization early in its technical maturity.
- Be able to communicate complex data topics to business stakeholders and lead teams across time zones.
- Preferred experience includes media, advertising, marketing technology or healthcare and pharmaceutical marketing, and familiarity with HCP data, NPI matching, media and campaign data, and marketing analytics.
- Preferred experience includes data product management, data contracts, multi-tenant delivery, third-party data licensing, and distributed or offshore teams.
- Preferred qualifications include AI-assisted development tools, observability and data quality testing, BI and ETL or integration tools, data catalog and lineage tools, or Google Cloud Professional Data Engineer or Cloud Architect certification.
Responsibilities
- Define and own the enterprise data architecture roadmap and set standards for modeling, pipelines, code quality, testing and deployment.
- Design and operate the Google Cloud data platform, including data layers, models and system integrations.
- Consolidate reporting and analytics platforms and lead migrations of legacy data sources.
- Build scalable batch and streaming pipelines from client, vendor, media and first-party sources.
- Create reusable, governed data foundations, services and APIs for reporting and client-facing products.
- Partner with Product Owners and business leaders to define data requirements and assess product data feasibility.
- Automate ingestion, transformation, validation, refreshes and client data feeds; establish data quality and observability practices.
- Build security, privacy, compliance and governance into the data architecture and manage third-party data risk.
- Build and mentor data engineers and analysts, introduce modern engineering practices, and provide technical direction to contributors and partners.
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