Databricks Architect
Onebridge, a Marlabs Company, is a global AI and Data Analytics Consulting Firm that empowers organizations worldwide to drive better outcomes through data and technology. Since 2005, we have partnered with some of the largest healthcare, life sciences, financial services, and government entities across the globe. We have an exciting opportunity for a highly skilled Databricks Architect to join our innovative and dynamic team.
Databricks Architect | About You
As a Databricks Architect, you are responsible for designing, implementing, and governing scalable data and analytics platforms that support enterprise reporting, advanced analytics, and dataâdriven decision making. You play a handsâon role in shaping data architecture, setting technical standards, and ensuring Databricks solutions are built for performance, reliability, and longâterm scalability. You work closely with data engineers, analysts, and business stakeholders to guide solution design, review implementations, and ensure alignment with business objectives. You are actively involved in platform optimization, cost management, and the adoption of best practices across data ingestion, transformation, and analytics. As a technical leader, you mentor team members, influence architectural decisions, and help mature the organizationâs overall data capabilities.
Databricks Architect | Day-to-Day
Design and architect endâtoâend data platforms using the Databricks Lakehouse architecture.
Define and implement scalable batch and streaming data pipelines using Apache Spark and Delta Lake.
Partner with engineering, analytics, and business teams to translate functional requirements into technical designs.
Establish and enforce data modeling, performance optimization, and costâmanagement best practices within Databricks.
Lead cloudâbased implementations across AWS, Azure, or GCP, including networking, security, and access controls.
Provide technical leadership through architecture reviews, code reviews, and design sessions.
Support production environments by troubleshooting data quality, performance, and reliability issues.
Databricks Architect | Skills & Experience
10+ years of overall experience in data engineering, data architecture, or enterprise analytics platforms.
Handsâon experience designing and implementing solutions on Databricks.
Strong proficiency in Apache Spark, SQL, and Delta Lake for largeâscale data processing.
Experience building and optimizing both batch and realâtime data pipelines.
Proven experience working within at least one major cloud platform, including AWS, Azure, or GCP.
Solid understanding of data governance concepts including security, lineage, access control, and compliance.
Experience with data modeling techniques for analytical and reporting workloads.
Familiarity with CI/CD practices, version control, and infrastructureâasâcode approaches for data platforms.
Demonstrated ability to mentor engineers and lead technical design discussions in crossâfunctional teams.
Apply To This Job
Databricks Architect | About You
As a Databricks Architect, you are responsible for designing, implementing, and governing scalable data and analytics platforms that support enterprise reporting, advanced analytics, and dataâdriven decision making. You play a handsâon role in shaping data architecture, setting technical standards, and ensuring Databricks solutions are built for performance, reliability, and longâterm scalability. You work closely with data engineers, analysts, and business stakeholders to guide solution design, review implementations, and ensure alignment with business objectives. You are actively involved in platform optimization, cost management, and the adoption of best practices across data ingestion, transformation, and analytics. As a technical leader, you mentor team members, influence architectural decisions, and help mature the organizationâs overall data capabilities.
Databricks Architect | Day-to-Day
Design and architect endâtoâend data platforms using the Databricks Lakehouse architecture.
Define and implement scalable batch and streaming data pipelines using Apache Spark and Delta Lake.
Partner with engineering, analytics, and business teams to translate functional requirements into technical designs.
Establish and enforce data modeling, performance optimization, and costâmanagement best practices within Databricks.
Lead cloudâbased implementations across AWS, Azure, or GCP, including networking, security, and access controls.
Provide technical leadership through architecture reviews, code reviews, and design sessions.
Support production environments by troubleshooting data quality, performance, and reliability issues.
Databricks Architect | Skills & Experience
10+ years of overall experience in data engineering, data architecture, or enterprise analytics platforms.
Handsâon experience designing and implementing solutions on Databricks.
Strong proficiency in Apache Spark, SQL, and Delta Lake for largeâscale data processing.
Experience building and optimizing both batch and realâtime data pipelines.
Proven experience working within at least one major cloud platform, including AWS, Azure, or GCP.
Solid understanding of data governance concepts including security, lineage, access control, and compliance.
Experience with data modeling techniques for analytical and reporting workloads.
Familiarity with CI/CD practices, version control, and infrastructureâasâcode approaches for data platforms.
Demonstrated ability to mentor engineers and lead technical design discussions in crossâfunctional teams.
Apply To This Job