Databricks Architect

myBridge Corporation; San Francisco (CA); On-site; USD 180,000 - 240,000; Part time

Benefits offered by this job

401K

Medical Insurance

Dental Insurance

Vision Insurance

Job summary

MyBridge Corporation in San Francisco, CA is seeking an experienced Databricks Architect to design and implement scalable data and analytics platforms. You will work with data engineers, data scientists, analysts, cloud engineers, and business stakeholders to develop modern lakehouse architectures that support analytics, ML, reporting, and BI.

Responsibilities include building data pipelines, governance frameworks, data models, security and cost controls, and performance optimization across

Qualifications

• Bachelor’s degree or higher in a technical field.
• Experience with Databricks or cloud certifications is valuable.
• Strong knowledge of Python, SQL, and data engineering.

Responsibilities

• Design data pipelines and lakehouse architectures for analytics and ML workloads.
• Establish technical standards and guide engineering teams on reliable, maintainable data solutions.

Skills

Databricks Lakehouse

Python

SQL

Data engineering

Data modeling

Cloud platforms

Governance & security

Data quality

Streaming & batch

APIs & integration

CI/CD for data

Documentation

Education

Bachelor’s degree in CS/IT/Data Eng

Databricks or cloud certifications

Tools

Databricks

CI/CD tools

AWS/Azure/GCP

Job description

401K, Medical Insurance, Dental Insurance, Vision Insurance

Contractor | On-site

Why work here

The role offers opportunities to work with large-scale datasets, cloud technologies, analytics, machine learning, and enterprise

Required Skills

We are seeking a Databricks Architect to design and implement scalable data and analytics platforms using the Databricks ecosystem. The architect will work with data engineers, data scientists, analysts, cloud engineers, and business stakeholders to develop modern data architectures that support analytics, machine learning, reporting, and business intelligence. Responsibilities include designing data pipelines, lakehouse architectures, data models, governance frameworks, and integration solutions. The role will also focus on performance optimization, security, access management, data quality, and cost management across large-scale data environments. The successful candidate will establish technical standards and guide engineering teams in implementing reliable and maintainable data solutions.

Skills

• Databricks Lakehouse architecture
• Python and SQL
• Data engineering and ETL/ELT
• Data modeling
• Cloud platforms such as AWS, Azure, or Google Cloud
• Data governance and security
• Data quality and observability
• Streaming and batch processing
• APIs and data integration
• Performance optimization
• CI/CD for data platforms
• Technical architecture and documentation

Education

Bachelor’s degree in Computer Science, Data Engineering, Information Technology, Mathematics, or a related technical field. A master’s degree and Databricks or cloud certifications are valuable.