Data Architecture & Data Engineering Leader
New
J
JobgetherData platforms
Must be based in the United States, Eastern Time Zone, or willing to work EST hoursFull-TimeLead
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Experience
- 16+ years of professional experience in data engineering or data architecture, including at least 5 years in technical leadership or team management roles.
- Required Skills
- PythonSQLApache AirflowGCPSnowflakeData modelingBigQuerydbt
Requirements
- Bring 16+ years of professional experience in data engineering or data architecture, including at least 5 years in technical leadership or team management.
- Have experience designing, implementing and operating enterprise-scale cloud data platforms; Google Cloud and BigQuery experience is preferred.
- Demonstrate experience building data architectures for commercial data products, client-facing platforms and advanced analytics.
- Have strong hands-on proficiency in SQL and Python and extensive knowledge of dimensional, layered and medallion data modeling.
- Have experience with pipeline orchestration and transformation technologies such as Airflow, Cloud Composer and dbt.
- Understand cloud data warehouses including BigQuery, Snowflake and Amazon Redshift, and modern data integration and ETL solutions.
- Have led complex data migrations, platform modernization and consolidation of multiple data sources.
- Have experience implementing data quality frameworks, observability, automated testing and monitoring.
- Understand 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.
- Be able to establish technical standards, processes, documentation and governance structures in organizations at an early stage of technical maturity.
- Be able to balance architectural vision with hands-on technical execution and communicate technical concepts to business stakeholders.
- Have demonstrated ability to build and mentor teams and coordinate delivery across time zones.
- Must be based in the United States and comfortable working remotely; Eastern Time Zone location or willingness to work EST hours is strongly preferred.
- Experience in media, advertising, marketing technology, healthcare or pharmaceutical marketing is desirable; familiarity with HCP data, NPI matching, media and campaign data, audience intelligence or marketing analytics is a plus.
- Preferred additional experience includes AI-assisted development tools, BI and integration platforms, data cataloging and lineage solutions, Google Cloud certification, and managing distributed or offshore engineering teams.
Responsibilities
- Define and own the enterprise data architecture and technology roadmap.
- Design and oversee the end-to-end cloud data platform, including ingestion, storage, transformation, modeling, integration and delivery.
- Lead development and maintenance of scalable batch and streaming pipelines using APIs, SFTP, ETL and modern integration technologies.
- Consolidate reporting and analytics environments and migrate legacy systems to modern cloud platforms such as Google Cloud and BigQuery.
- Establish data models, engineering frameworks, coding conventions, documentation, testing and deployment standards.
- Build reusable data foundations, curated datasets, shared models and data services for commercial data products.
- Translate product concepts and business needs into technical requirements and assess data feasibility.
- Design data APIs and multi-tenant delivery architectures for client-facing applications, dashboards and portals.
- Establish data quality, monitoring, observability, security, privacy, compliance and governance frameworks.
- Recruit, lead, develop and mentor data engineers and analysts, and introduce modern engineering and delivery practices.
View Full Description & ApplyYou'll be redirected to the employer's site
