Global BI & Analytics Data Architect (Hybrid)

Lam Research Salzburg GmbH

Fremont (CA)

Hybrid

USD 137,000 - 287,000

Full time

14 days+

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Job summary

Lam Research in Fremont, CA is seeking a Global BI Solutions Data Architect to design data engineering and integration for future systems, collaborate with analytics, and align with governance standards. You will lead data strategy for cloud‑native platforms, implement ETL/ELT pipelines, and work with Workday Adaptive, Azure stack, and Power BI to enable enterprise decision‑making.

The role emphasizes delivering scalable architectures, partnering with sponsors, and guiding digital transformation

Qualifications

  • Bachelor’s degree in Computer Science, Information Technology, MIS, Data Science, Analytics, or a relevant Engineering field; Master’s or PhD preferred.
  • Over 12 years of experience with modern data engineering, data warehousing, and data lake technologies on cloud platforms such as Azure, AWS, and Databricks.
  • Over 10 years of SQL experience with cloud‑native data warehousing and data modeling.
  • Over 5 years of experience in building FP&A applications and integrating platforms with ERP systems and Azure data platform.
  • Over 5 years of experience configuring Azure cloud and SaaS platforms and building automated ETL/ELT pipelines for real‑time, streaming and batch data exchange.
  • Minimum of 3 years working with Spark and Python for big data processing.
  • At least 3 years of hands‑on experience implementing end‑to‑end medallion architecture using Databricks or similar cloud tools.
  • Proven background in schema design and dimensional data modeling.
  • Comprehensive knowledge of data warehouse best practices and development standards.

Responsibilities

  • Drive data strategy and architecture for cloud‑native platforms across the Global BI Solutions group.
  • Design and develop data engineering solutions and data governance specifications.
  • Collaborate with stakeholders to define data requirements and address data gaps.
  • Lead workshops to identify data and process improvements for digital transformation.
  • Create and enforce analytics standards and procedures across the Data Hub.

Skills

Data architecture
SQL
Python
Spark
Cloud platforms
Data governance
Communication

Education

Bachelor's degree in CS/IT/Data Science
Master’s or PhD preferred

Tools

Azure
AWS
Databricks
Power BI
MS Fabric
Azure Synapse

Job description

Lam Research in Fremont, CA is seeking a Global BI Solutions Data Architect to design data engineering and integration for future systems, collaborate with analytics, and align with governance standards. You will lead data strategy for cloud‑native platforms, implement ETL/ELT pipelines, and work with Workday Adaptive, Azure stack, and Power BI to enable enterprise decision‑making.

The role emphasizes delivering scalable architectures, partnering with sponsors, and guiding digital transformation

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