Lead Analytics Architect

Hybrid Work Arrangement

This role is a hybrid position with the expectation to work onsite (3) three days a week in the Ericsson office located in Santa Clara, California.

Ericsson Inc. does not sponsor US work authorizations for this job position including H-1B, O-1, and TN. Ericsson also does not hire F-1’s working on EAD for this position.

Join the GFGO Data Office as a senior Data Engineer / Lead Architect reporting to the Head of Data & Analytics - Strategy & Engineering. Help shape Ericsson’s data strategy by designing scalable data platforms, delivering high-quality data feeds, and enabling analytics and AI readiness across the business.

• Team:
  Report to GFGO Data Office – Head of Data & Analytics (Strategy & Engineering) and work with cross‑functional data engineers, architects, analytics leads and business stakeholders.
• Contribute to both Data Engineering and Data Architecture, ensuring alignment with overall data strategy and business objectives.
• Design, evolve and own data warehouses and large‑scale data platforms; deliver high‑quality, production‑grade data feeds.
• Build and maintain ETL/ELT jobs and end‑to‑end data pipelines; modernize the data stack using tools such as dbt, Informatica, Airflow and Snowflake.
• Partner with business stakeholders to translate requirements into scalable data architectures that deliver measurable business value.
• Implement AI‑driven automation to optimize data workflows and improve data readiness for analytics and ML.
• Establish and refine data engineering standards, governance and delivery practices, lead architecture reviews and mentor engineering teams.
• Define and track Objective Key Results (OKRs) for data strategy and AI initiatives, report progress regularly to leadership.
• Early impact expectations: start guiding architecture and code review processes within the first 3 months and deliver several high‑priority data feeds and architectural improvements while refining standards and improving data reliability within 6 months.

• Bachelor’s degree in computer science or related field, or equivalent experience; advanced degree is a plus.
• 8+ years of experience as a Data Engineer or in a similar role with a proven track record delivering ETL/ELT jobs and pipelines.
• Strong expertise in data warehousing and data architecture and experience building modern data stacks (dbt, Informatica, Airflow, Snowflake, etc.).
• Proficiency in at least one programming language (Java, Scala, Python, etc.).
• Demonstrated ability to design and implement large‑scale data solutions end‑to‑end and to lead architecture reviews and cross‑team collaboration.
• Strong collaboration and communication skills to work with business stakeholders and cross‑functional teams.
• Familiarity with AI‑driven automation and metrics‑driven delivery (OKRs) is highly desirable.

At Ericsson, you’ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what’s possible. To build solutions never seen before to some of the world’s toughest problems. You’ll be challenged, but you won’t be alone. You’ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.

to find all you need to know about our typical hiring process. Ericsson uses a merit‑based hiring approach that values people with different experiences, perspectives and skillsets. We truly believe this approach drives innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team.

Ericsson is proud to be an Equal Opportunity employer, learn more.

If you need assistance or to request an accommodation due to a disability, please contact Ericsson at hr

The above statements are intended to describe the general nature and level of work being performed by employees in this position. They are not an exhaustive list of all responsibilities, duties and skills required for this position, and you may be required to perform additional job tasks as assigned.

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