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Assistant Databricks Architect Jobs in California

Hands-on experience working with Databricks, Delta Lake, and global architectures, establishing and ... Demonstrated AI fluency at an expert IC level: regular use of LLM assistants and agents (e.g ...

... architecture choices and influence the enterprise roadmap. * Leverage AI to accelerate engineering : Use AI-enabled tools like Databricks Assistant, Cursor AI, GitHub Copilot, and dbt Mesh AI tests ...

Bring structure to unstructured work for developing business cases with clients * Assist ZS ... Familiarity with industry- standard products and platforms such as Snowflake, Databricks, Redshift ...

... architecture choices and influence the enterprise roadmap. * Leverage AI to accelerate engineering : Use AI-enabled tools like Databricks Assistant, Cursor AI, GitHub Copilot, and dbt Mesh AI tests ...

Bring structure to unstructured work for developing business cases with clients * Assist ZS ... Familiarity with industry- standard products and platforms such as Snowflake, Databricks, Redshift ...

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Assistant Databricks Architect information

What is the difference between Assistant Databricks Architect vs Data Engineer?

AspectAssistant Databricks ArchitectData Engineer
Primary FocusDesigning and supporting Databricks architecture and solutionsBuilding, maintaining, and optimizing data pipelines and databases
Required SkillsDatabricks platform knowledge, cloud services, architecture designSQL, ETL, programming (Python, Spark), data modeling
CertificationsDatabricks certifications, cloud certifications (AWS, Azure)None specific, but certifications like Google Cloud Data Engineer are common
Work EnvironmentCloud-based data platforms, collaborative teamsData warehouses, cloud or on-premises environments

The Assistant Databricks Architect focuses on designing and supporting Databricks solutions, while Data Engineers build and maintain data pipelines. Both roles require cloud and data platform knowledge, but the Architect emphasizes architecture design, whereas Data Engineers focus on data processing and pipeline development.

What are the most commonly searched types of Databricks Architect jobs in California?

The most popular types of Databricks Architect jobs in California are:

What are popular job titles related to Assistant Databricks Architect jobs in California?

For Assistant Databricks Architect jobs in California, the most frequently searched job titles are:

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The top searched job categories for Assistant Databricks Architect jobs in California are:

What cities in California are hiring for Assistant Databricks Architect jobs?

Cities in California with the most Assistant Databricks Architect job openings:

Principal Enterprise Data Architect

Cellares

South San Francisco, CA • On-site

$90K - $210K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 8 days ago


Job description

Cellares is building a next-generation Integrated Digital Manufacturing Operations (IDMO) platform to enable scalable, GMP-compliant cell therapy manufacturing. As part of this transformation, we are establishing a modern enterprise data foundation powered by Databricks to unify data across engineering, manufacturing, quality, supply chain, finance and commercial systems.
We are seeking a Principal Enterprise Data Architect, a highly hands-on individual contributor who will design, build, and operationalize our enterprise data platform from the ground up.
This is a multidisciplinary role and this individual will play a critical role in enabling real-time decision-making, data governance, and AI readiness across the enterprise. This role is a startup-style builder (90% hands-on) and will evolve into a foundational leader for scaling data capabilities, including alignment with our Global Capability Center (GCC).
Candidates should enjoy working in a fast-paced, mission-driven environment, and be prepared to tackle a broad selection of challenges as the company grows.
Responsibilities
  • Architect and implement Databricks Lakehouse architecture
  • Build end-to-end ETL/ELT pipelines
  • Define canonical data models and scalable patterns
  • Integrate SAP S/4HANA, Tulip MES, LabVantage LIMS, Salesforce, and engineering systems
  • Align with API-first/event-driven architecture (MuleSoft / Workato)
  • Define data glossary, lineage, and quality frameworks
  • Implement Unity Catalog and governance aligned to GMP/21 CFR Part 11
  • Prepare datasets for analytics and AI/ML use cases
  • Support structured and unstructured data processing
  • Evaluate and implement BI tools (Sigma, Looker, Tableau)
  • Enable self-service analytics with governance
  • Build pipelines using Python, SQL, Spark
  • Establish reusable frameworks
  • Partner with engineering, manufacturing, quality, finance and software teams
  • Translate business needs into data solutions

Requirements
  • Bachelor's or Master's degree in Engineering, Life Sciences, Information Systems, or related field
  • 10+ years in data architecture/data engineering
  • Strong Databricks/Spark experience
  • Experience building data platforms from scratch
  • Integration with ERP/MES/LIMS/CRM systems
  • Azure cloud experience
  • Self-awareness, integrity, authenticity, and a growth/entrepreneurial mindset

$90,000 - $210,000 a year
Cellares total compensation package contains competitive base salaries, highly subsidized Medical, Dental, and Vision Plans, 401(k) Matching, Free EV Charging, Onsite lunches, and Stock options. All displayed pay ranges are approximate, negotiable, and location dependent.
This is Cellares
Cellares is the first Integrated Development and Manufacturing Organization (IDMO) and takes an Industry 4.0 approach to mass manufacturing the living drugs of the 21st century. The company is both developing and operating integrated technologies for cell therapy manufacturing to accelerate access to life-saving cell therapies. The company's Cell Shuttle integrates all the technologies required for the entire manufacturing process in a flexible and high-throughput platform that delivers true walk-away, end-to-end automation. Cell Shuttles will be deployed in Cellares' Smart Factories around the world to meet total patient demand for cell therapies at global scale. Partnering with Cellares enables academics, biotechs, and pharma companies to accelerate drug development and scale out manufacturing, lower process failure rates, lower manufacturing costs, and meet global patient demand.
The company is headquartered in South San Francisco, California with its commercial-scale IDMO Smart Factory in Bridgewater, New Jersey. The company is backed by world-class investors and has raised over $355 million in financing.
Leveling will be based on overall experience, education, and demonstration of knowledge throughout the interview process.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Cellares logo

About Cellares

Sourced by ZipRecruiter

Industry

Pharmaceutical and medicine manufacturing

Company size

11 - 50 Employees

Headquarters location

South San Francisco, CA, US

Year founded

2019