Principal Data Architect

The Principal Data Architect will lead the design and implementation of scalable cloud-based data platforms, architecture standards, governance frameworks, and data products that enable enterprise-wide AI, analytics, and data-driven decision making. This role will support the development, management, and modernization of the enterprise data ecosystem that powers our next-generation business capabilities.

What You Will Do

Define and maintain enterprise-wide data architecture standards, principles, roadmaps, and governance frameworks. Lead the design and implementation of scalable cloud-native data platforms leveraging Databricks, AWS, Azure, and related technologies. Architect and oversee batch, streaming, and real-time data pipelines supporting analytics, AI, machine learning, and operational use cases.

Why It Might Be a Fit

The ideal candidate combines deep technical expertise in Databricks, AWS, Azure, modern data architectures, and data engineering practices with strong business acumen and leadership capabilities. Healthcare and EMR/EHR experience is highly desirable as Abbott continues to expand the use of clinical, operational, and commercial data assets to accelerate innovation and business outcomes.

Requirements

• Bachelor's degree in computer science, Information Systems, Engineering, Data Science, or a related technical discipline
• 8+ years of experience in data architecture, solution architecture, data engineering, or related enterprise technology roles
• 5+ years of experience designing and implementing enterprise-scale cloud data platforms
• Deep hands-on experience with Databricks, including Delta Lake, Unity Catalog, Databricks Workflows, Databricks SQL, Spark, and PySpark
• Strong expertise with AWS services such as S3, Glue, IAM, Redshift, Lambda, Kinesis, and Lake Formation
• Strong expertise with Microsoft Azure services such as Azure Data Lake Storage (ADLS), Azure Data Factory, Synapse, Azure Key Vault, and Microsoft Purview
• Extensive experience designing and implementing ETL/ELT frameworks, data pipelines, and cloud-native integration solutions
• Strong understanding of data architecture patterns, distributed systems, data modeling, and enterprise integration concepts
• Experience implementing data governance, security, compliance, encryption, access controls, monitoring, and auditing frameworks
• Strong proficiency in SQL and Python
• Proven ability to develop architecture standards and influence enterprise technology direction
• Excellent communication, stakeholder management, and executive presentation skills
• Demonstrated ability to lead complex cross-functional initiatives and technical teams

Benefits

• Career development with an international company where you can grow the career you dream of
• Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year
• An excellent retirement savings plan with a high employer contribution
• Tuition reimbursement, the Freedom 2 Save student debt program, and FreeU education benefit - an affordable and convenient path to getting a bachelor’s degree
• A company recognized as a great place to work in dozens of countries worldwide and named one of the most admired companies in the world by Fortune
• A company that is recognized as one of the best big companies to work for as well as the best place to work for diversity, working mothers, female executives, and scientists