Principal Data Analyst Engineer Jobs

1 job found

Today

Principal Data Engineer

Abbott Laboratories Madison, WI

Madison, WI

Today

$129k - $259k/yr Full time Big Data Bigdata Clinical Data

Apply Now

Job Description

Abbott Laboratories is hiring a Principal Data Engineer to lead cross-domain enterprise data engineering initiatives on-site in Madison, WI.

Responsibilities

Own the technical outcome for assigned cross-domain initiatives from early ambiguity through production and lifecycle support.
Translate enterprise needs into integrated architecture and executable technical plans, breaking complex work into deliverable increments across domains.
Coordinate technical execution with domain Staff Engineers and partner teams, surfacing dependencies and architectural risks and escalating decisions needing business or delivery authority.
Stay hands-on across prototypes, reference implementations, and critical-path development through technical validation and production problem solving.
Define, steward, and evolve enterprise data engineering standards, patterns, and reference architectures; drive convergence when inconsistent or duplicative implementations add enterprise cost, risk, or operational burden.
Lead architecture for enterprise capabilities, including semantic and metrics layers, canonical data models, and batch, API, event-driven, and streaming patterns.
Design governed data products supporting analytics, machine learning, and AI use cases.
Establish enterprise data-contract standards covering schemas, service expectations, compatibility, breaking-change policy, and producer-consumer responsibilities; partner with Platform Engineering to convert recurring needs into shared capabilities.
Lead enterprise design and code reviews for high-complexity or cross-domain work; coach and mentor Staff and Senior Engineers through influence across domains without formal people-management authority.
Communicate architectural tradeoffs clearly to engineering, business, and executive stakeholders; build reusable guidance to improve consistency across Enterprise Data.
Evaluate tradeoffs across reliability, scalability, performance, security, privacy, operability, adoption, and technical cost; drive cost-efficient use of compute, storage, streaming, and orchestration.
Act as enterprise technical escalation for incidents spanning multiple domains or shared architecture patterns; lead root-cause analysis and preventive changes for recurring enterprise issues.
Design and review architectures that handle protected health information to meet applicable security, privacy, lineage, audit, Quality Management System, HIPAA, CLIA, and regulatory requirements.
Provide technical direction and due diligence for vendor and external-partner solutions; advance responsible engineering practices including approved AI-assisted development capabilities.
Work nights and/or weekends as needed.
Uphold the company mission and values through accountability, innovation, integrity, quality, and teamwork.
Support and comply with the company’s Quality Management System policies and procedures.
Maintain regular and reliable attendance.
Demonstrate an inclusion mindset and model these behaviors for the organization.

Requirements

Bachelor’s Degree in Data Science, Computer Science, Information Systems, Mathematics, or Engineering; or a High School Diploma/General Education Degree with 12 years of relevant experience as outlined in the essential duties in lieu of the Bachelor’s Degree.
Expert-level experience with software development design and development plus relevant domain-specific skills.
Spark on Databricks (or comparable platforms) and experience with Python, Scala, SQL, and Snowflake.
ETL and ELT data pipelines, including batch and event-driven patterns.
Experience designing and implementing data modeling solutions using relational, dimensional, and/or NoSQL databases.
Database architecture testing methodology, including execution of test plans, debugging, and testing scripts and tools.
Experience with open data file and table formats: Parquet, Avro, Delta Lake; and cloud infrastructure/delivery services including AWS, S3, SQS, and GitLab CI/CD.
REST API development; familiarity with BI concepts and Tableau performance considerations.
Agile development tools including JIRA and Confluence repository.
Demonstrated ability to lead through influence across multiple teams and communicate complex technical decisions to senior engineering, business, and executive stakeholders.
Ability to perform the essential duties of the position with or without accommodation.

Technologies

Databricks, Unity Catalog, Spark
Python, Scala, SQL, Snowflake
ETL, ELT, Parquet, Avro, Delta Lake
AWS, S3, SQS, GitLab CI/CD
REST API, Tableau
JIRA, Confluence
HIPAA, CLIA

Preferred Qualifications

Enterprise-scale experience with Databricks, Apache Spark, Delta Lake, and Unity Catalog.
Kafka, change data capture, and production event-streaming architectures.
Experience designing semantic or metrics layers, canonical data models, and governed data products.
Cloud data architecture experience in AWS, Azure, or Google Cloud Platform.
Life sciences, diagnostics, or clinical laboratory environments involving protected health information with experience across HIPAA, CLIA, FDA, and/or Quality Management System requirements.
Technical assessment and architecture direction for vendor and external-partner platforms.

Compensation

Base pay range: USD 129,300 - 258,700 per year.
Pay range may vary by specific location.

Location: Madison, WI (onsite)

View full job page →

Get Principal Data Analyst Engineer Jobs alerts

New Principal Data Analyst Engineer Jobs, daily.