Lead Data Architect, Cloud & AI Platform

Abbott

Pleasanton (CA)

On-site

USD 114,000 - 228,000

Full time

14 days+

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Benefits offered by this job

Health insurance
Retirement plan with employer contrib
Tuition reimbursement

Job summary

Abbott is seeking a Lead Data & Solutions Architect to advance our enterprise data ecosystem, driving scalable cloud data platforms and governance. You will lead architecture across Databricks, AWS, and Azure to enable AI, analytics, and data-driven decision making.

The ideal candidate has deep Databricks and cloud experience, strong business acumen, and leadership capabilities to mentor engineers and cross-functional teams in a regulated healthcare environment.

Qualifications

  • Bachelor's degree in a technical field or equivalent experience.
  • 8+ years in data architecture, solution architecture, data engineering, or related enterprise tech roles.
  • 5+ years designing and implementing enterprise-scale cloud data platforms.
  • Strong hands-on experience with Databricks and cloud platforms (AWS/Azure).

Responsibilities

  • Define and maintain enterprise-wide data architecture standards, roadmaps, and governance frameworks.
  • Lead design and implementation of scalable cloud-native data platforms using Databricks, AWS, and Azure.
  • Architect batch, streaming, and real-time data pipelines for analytics, AI, and ML use cases.
  • Collaborate with business, product, analytics, AI, and engineering teams to translate strategy into data solutions.
  • Design and optimize lakehouse architectures, data lakes, data warehouses, and data integration frameworks.
  • Enable self-service data analytics with trusted, governed data assets.
  • Support enterprise AI initiatives with high-quality, scalable data foundations.
  • Establish data modeling, metadata management, data lineage, and data quality practices.
  • Automate data workflows, orchestration, and monitoring for near real-time access.
  • Ensure data security, privacy, compliance, and governance across platforms.
  • Guide cloud strategy across AWS and Azure environments and mentor data engineers.

Skills

Databricks
Delta Lake
Unity Catalog
Databricks Workflows
Databricks SQL
Spark / PySpark
AWS
Azure
ETL/ELT
Data governance
SQL
Python

Education

Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or related

Tools

AWS Glue
S3

Job description

Abbott is seeking a Lead Data & Solutions Architect to advance our enterprise data ecosystem, driving scalable cloud data platforms and governance. You will lead architecture across Databricks, AWS, and Azure to enable AI, analytics, and data-driven decision making.

The ideal candidate has deep Databricks and cloud experience, strong business acumen, and leadership capabilities to mentor engineers and cross-functional teams in a regulated healthcare environment.

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