Databricks Technical Architect

Onebridge • Indianapolis, IN

1d

About The Position

As a Databricks Technical Architect, you are responsible for defining the strategic architecture and delivering scalable, high-performance data solutions leveraging Databricks. You have a proven ability to influence senior leadership and align technology decisions with business objectives. You excel at designing modern data platforms, optimizing workflows, and enabling advanced analytics capabilities across large-scale environments. You thrive in Agile settings, collaborating with cross-functional teams to translate complex business requirements into actionable technical solutions. Your expertise in Databricks, medallion architecture, and AI/ML integration positions you as a trusted advisor for enterprise data transformation initiatives.

Requirements

• 10+ years of enterprise Data Architecture experience, with deep expertise in designing and implementing solutions on Databricks.
• Extensive hands-on experience with Databricks fundamentals, including cluster optimization, Delta Lake, MLflow, and SQL Warehouse.
• Proven ability to architect big data solutions using Data Lakes, Data Warehouses, and Data Products at scale.
• Experience building real-time and batch ingestion pipelines, leveraging technologies such as Spark, PySpark, and Delta Live Tables.
• Strong knowledge of data governance, security, DevOps, and MLOps practices for modern data platforms.

Nice To Haves

• Familiarity with cloud platforms (AWS, Azure, GCP) and hybrid architectures is a plus.
• Exposure to advanced analytics and AI/ML techniques, enabling integration of predictive models into enterprise workflows.

Responsibilities

• Collaborate with business and technology stakeholders to define target architecture, roadmaps, and best practices for enterprise data platforms.
• Design and implement scalable data solutions using Databricks, including medallion architecture, Delta Live Tables (DLT), and Unity Catalog.
• Develop and optimize data pipelines for batch and real-time ingestion, ensuring performance, reliability, and cost efficiency.
• Establish standards for data governance, security, and compliance within Databricks and integrated cloud environments.
• Lead architecture reviews, code assessments, and knowledge-sharing sessions, promoting best practices across teams.
• Integrate advanced analytics and ML/AI capabilities into data workflows to enable predictive insights and automation.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 101-250 employees