Databricks Technical Architect
Overview
Lead Databricks technical architecture and productionize Lakehouse platforms for clients. Translate business requirements into technical designs, build and scale Delta Lake pipelines, and integrate GenAI solutions. Partner with functional leads to ensure platform decisions support data quality and governance.
What You'll Do11
- 1Stand up and configure Databricks environments end-to-end including Unity Catalog design and VPC networking
- 2Design and deploy medallion pipelines using Delta Live Tables and Structured Streaming
- 3Establish IaC and CI/CD foundations with Terraform and GitHub Actions
- 4Build applied AI solutions on Mosaic AI including vector search and conversational BI
- 5Optimize Delta Lake performance and architect scalable data pipelines
- 6Integrate Databricks with enterprise stacks via Lakehouse Federation and Delta Sharing
- 7Partner with MDM leads to align platform decisions with data governance workflows
- 8Document architecture decisions and lead technical workstreams
- 9Mentor engineers and coach client technology partners
- 10Translate business needs into technical specifications for large-scale data platforms
- 11Drive continuous improvement of data platform delivery processes
Requirements11
- 1Bachelor's degree in Computer Science Engineering or related field
- 2At least 4 years hands-on Databricks experience
- 3Required: Databricks Certified Data Engineer Professional or Machine Learning Professional
- 4Cloud-agnostic capability across AWS Azure and GCP with AWS preference
- 5Deep expertise in Delta Lake Unity Catalog Delta Live Tables Structured Streaming
- 6Working experience with Mosaic AI Agent Framework Vector Search Model Serving
- 7Familiarity with Python SQL PySpark and Scala
- 8Infrastructure-as-code experience with Terraform Databricks Asset Bundles
- 9CI/CD knowledge for data platforms
- 10Exposure to MDM data quality workflows
- 11Strong communication and collaboration skills
Salary Insight
Salary not disclosed in listing
Location
Required Skills
Similar open positions
Explore active roles that match your skills and interests.

Headway Tek Inc
VerifiedDatabricks Architect, Enterprise Lakehouse Platform
You will own the Databricks platform architecture end-to-end, designing and implementing next-generation data platforms on the Lakehouse paradigm. You will drive scalability, governance, performance, and cost optimization across enterprise data ecosystems, partnering with data engineering, data science, and business teams. This role goes beyond pipeline development, offering leadership in platform strategy and adoption at scale. You will define the roadmap for Unity Catalog, Delta Lake, and Spark workloads in a hybrid environment.
Apex Systems
VerifiedDatabricks Architect, Data Intelligence Platform
As the Databricks Architect, you own the architecture and implementation of the Data Intelligence Platform Enablement Framework at enterprise scale. You set the technical direction for a team of data engineers and platform engineers, defining standards that govern data access, security, and quality. This role stands apart because you shape the architecture from day one, working directly with leadership to align technical patterns with business goals.

Nityo Infotech Corporation
VerifiedDatabricks Architect, Data Engineering
You will own the architecture and delivery of Databricks-based data platforms for enterprise clients, defining technical direction across the full project lifecycle. You will design scalable data architectures, lead implementation teams, and drive innovation using Spark, Delta Lake, and cloud-native services. This role sits within a specialized Databricks practice, collaborating with data engineers and solution architects to solve complex data challenges. You will experiment with emerging data technologies and set the standard for best practices in a hands-on, client-facing capacity.

Syntrux & Co
VerifiedDatabricks Solution Architect, Data Platform & Lakehouse
You will design and implement scalable data solutions on the Databricks Lakehouse platform, owning architecture that serves enterprise-scale analytics. You will work with Delta Lake and Unity Catalog to build robust data foundations. You will partner with data engineering teams across Azure, AWS, or GCP to drive cloud adoption. This role focuses on end-to-end architecture, from ingestion to serving, with direct impact on data strategy.

Rivago infotech inc
VerifiedData Architect (Databricks), Lakehouse Platform
You will lead enterprise-scale data platform modernization, migrating from AWS EMR, Apache NiFi, and legacy ETL frameworks to the Databricks Lakehouse Platform. You will architect and implement scalable Lakehouse solutions using Delta Lake, Unity Catalog, and Databricks Workflows. You will design end-to-end data pipelines for batch, streaming, and CDC, and govern data across the organization. This role centers on technical leadership and hands-on architecture, shaping the data strategy for a long-term project.

HMG America
VerifiedAzure Databricks Architect, Lakehouse & Data Platform
You will own the design and optimization of enterprise-scale data platforms on Azure Databricks, spanning Spark, Delta Lake, and modern Lakehouse architecture. Collaborate with data engineers, scientists, and business stakeholders to deliver secure, high-performance data solutions. Stand out by driving Unity Catalog adoption and ensuring governance and scalability across the platform.