Data Architect

Jacobs supports critical clients across healthcare, life sciences, and medical societies by building modern data platforms that enable better insights, operational efficiency, and data driven decision making. The role is for the U.S. Medical Societies portfolio, processing and managing large volumes of sensitive healthcare related data, including patient, clinician, and visit information.

• 8+ years of experience in data engineering with significant hands on work in Microsoft / Azure data technologies
• Proven experience in a senior, lead, or architect role owning data platform design and guiding other engineers
• Advanced expertise in SQL (data modeling, query optimization, complex transformations)
• Strong proficiency in Python, PySpark or Spark for data processing, orchestration, and automation
• Hands on experience with Azure data services such as Azure Data Factory, Synapse, SQL Database, Azure Data Lake, Blob Storage, and supporting monitoring and orchestration tools
• Deep understanding of data pipeline reliability, operational support, and incident resolution
• Strong knowledge of the software development lifecycle and data engineering best practices
• Excellent communication skills to explain complex technical concepts to non technical stakeholders

Nice to have:

• Experience working with healthcare or regulated data (HIPAA, PII, sensitive data domains)
• Experience working in Agile and DevOps environments
• Familiarity with data governance, data quality frameworks, and master data concepts
• Experience working with distributed or offshore teams and U.S. based clients
• Exposure to reporting, analytics, or downstream data consumption patterns

• Own and evolve the end-to-end data architecture for healthcare data ingestion, transformation, and storage using the Microsoft / Azure data stack
• Design scalable, resilient, and secure data pipelines for complex datasets (patient, clinician, visit, and related reference data)
• Act as technical authority for data engineering decisions, tooling selection, and design patterns
• Define data models, schema strategies, and performance optimization approaches for large scale relational datasets
• Ensure solutions align with data governance, security, and compliance expectations relevant to healthcare data
• Lead development and optimization of SQL- and Python-based data pipelines running on Azure
• Troubleshoot ingestion failures, performance bottlenecks, and data quality issues, including hands on support during critical weekend processing windows
• Implement robust logging, monitoring, alerting, and data quality checks across pipelines
• Drive best practices for version control, CI/CD, and Infrastructure as Code (IaC) for data platforms
• Collaborate with downstream consumers (analytics, reporting, operational teams) to ensure data usability and reliability
• Provide technical leadership and mentoring for a team of data engineers, providing technical guidance, code reviews, and career development support
• Work closely with U.S. stakeholders, product owners, and project managers to translate business requirements into executable data solutions
• Facilitate technical discussions, architectural reviews, and cross team alignment
• Promote a culture of ownership, quality, and continuous improvement within the team

Primarily based in Poland, collaborating daily with U.S. teams. Occasional weekend support may be required during critical pipeline execution windows. Jacobs is a Disability Confident employer and will interview all disabled applicants who meet the criteria. Reasonable adjustments for recruitment process available upon request.