1 day ago
Base Salary
$129k - $259k/yr
Responsibilities
- Own technical outcomes for assigned cross-domain initiatives from initial ambiguity through production and lifecycle support.
- Translate enterprise needs into integrated architectures, technical plans, deliverable increments, and cross-domain execution.
- Define and steward enterprise data engineering standards, patterns, reference architectures, and data-contract policies.
- Lead architecture for semantic and metrics layers, canonical data models, governed data products, batch, API, event-driven, and streaming capabilities.
- Remain hands-on through prototypes, reference implementations, critical-path development, technical validation, design and code reviews, and production problem solving.
- Coordinate dependencies and architectural risks across Staff Engineers, Platform Engineering, domain teams, and partner organizations.
- Mentor engineers and communicate complex technical tradeoffs to engineering, business, and executive stakeholders.
- Drive reliability, scalability, security, privacy, operability, cost efficiency, incident response, root-cause analysis, and preventive improvements.
- Design and review protected-health-information architectures for HIPAA, CLIA, Quality Management System, audit, lineage, privacy, and regulatory requirements.
- Provide technical direction and due diligence for vendor and external-partner solutions.
Requirements
- Bachelor's degree in Data Science, Computer Science, Information Systems, Mathematics, or Engineering, or a high school diploma/GED with 12 years of relevant experience in lieu of the bachelor's degree.
- Expert-level experience in software development design and development and relevant domain-specific skills.
- Experience with Spark on Databricks or comparable platforms, Python, Scala, SQL, and Snowflake.
- Experience designing ETL and ELT data pipelines, including batch and event-driven patterns.
- Experience designing and implementing relational, dimensional, and/or NoSQL data modeling solutions.
- Experience with database architecture testing methodology, test plans, debugging, and testing scripts and tools.
- Experience with Parquet, Avro, Delta Lake, AWS, S3, SQS, and GitLab CI/CD.
- Experience developing REST APIs and familiarity with BI concepts and Tableau performance considerations.
- Experience with JIRA and Confluence, plus Agile development tools.
- Ability to lead through influence across multiple teams and communicate complex technical decisions to senior engineering, business, and executive stakeholders.
- Preferred experience includes enterprise-scale Databricks, Apache Spark, Delta Lake, Unity Catalog, Kafka, change data capture, event streaming, semantic or metrics layers, canonical data models, governed data products, AWS, Azure, Google Cloud Platform, and regulated life-sciences or clinical environments.
- Ability to perform the essential duties with or without accommodation.
Benefits
- United States role located at Abbott's Madison, Wisconsin site at 1 Exact Lane.
- Standard work shift with travel required 10% of the time.
- May require working nights and/or weekends as needed.
- Base pay range is $129,300.00–$258,700.00.
- Equal employment opportunity employer.
Tech Stack
Categories
Data Engineering
About Abbott
Abbott is a NYSE‑listed healthcare company that develops diagnostics, medical devices, nutrition products, and branded generic medicines for clinicians and consumers. Founded in 1888 and headquartered in Abbott Park, Illinois, it sells products in more than 160 countries, including the FreeStyle Libre continuous glucose monitoring system. Revenue comes primarily from product sales to hospitals, clinics, and retail channels.