The Databricks Architect will design and implement data architecture solutions using Databricks, AWS, and Snowflake, focusing on MLOps and data governance.
Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.
This role will be responsible for Databricks Architecture, Designing and implementing best data practices.
Requirements
- Strong Experience in Data Architecture, specifically with Databricks Architecture.
- Expert in Databricks Lakehouse (Delta Lake, Unity Catalog, MLflow), AWS, Snowflake, and Apache Iceberg.
- Strong MLOps & CI/CD Expertise
- Proficient in Python/Scala (Spark) for data governance, security, and enterprise data platform design.
- Databricks certifications and GenAI architecture experience preferred.
Key Responsibilities:
- Architect and strategize Databricks on AWS/Snowflake integration for secure, scalable data/AI platforms.
- Architect seamless Snowflake/Databricks data flow via Apache Iceberg (including ML output).
- Design cost-managed multi-region Databricks MLOps platform and data flows.
- Implement Unity Catalog for fine-grained access control and secure team coexistence with Workspaces.
- Develop Databricks-native MLOps (environment parity, Git-driven CI/CD, governed access, MLflow governance, standardized deployment, monitoring).
- Define enterprise-scalable AI governance for GenAI production deployment.
Benefits
This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
#LI-remote
Similar Jobs
Information Technology
Lead design and implementation of scalable Databricks Lakehouse solutions using Delta Lake, Unity Catalog, and MLflow. Advise stakeholders, drive cloud data platform modernization across Azure/AWS/GCP, ensure data governance and quality, optimize performance and cost, and mentor teams. Support presales, deliver billable consulting, and champion AI/ML-enabled data solutions to translate platform capabilities into business outcomes.
Top Skills:
AWSAzureBatch StreamingData CatalogingData GovernanceData LineageDatabricksDelta LakeEltETLGCPMaster Data ManagementMlflowPysparkPythonRbacScalaSQLUnity Catalog
Artificial Intelligence • Machine Learning • Database
Lead Databricks pre-sales discovery and design Lakehouse architectures, author proposal technical content, run proofs-of-concept, and act as lead architect on major engagements. Own the Databricks partner relationship and co-sell motion, drive certification and internal enablement, resolve performance and governance challenges, and ensure successful production handoffs while building partner-sourced pipeline and scaling the Databricks practice.
Top Skills:
AWSAzureDatabricksDatabricks WorkflowsDelta LakeDelta Live TablesGCPInfrastructure As CodeMlflowModel ServingMosaic AiPhotonRagSnowflakeSparkUnity CatalogVector Search
Logistics • Real Estate • Energy • Utilities
Lead architecture and technical delivery of a Databricks Lakehouse platform on Azure. Define end-to-end architecture, implement scalable Databricks patterns, migrate use cases to production, enforce governance/security (Unity Catalog, RLS, encryption), design streaming/batch pipelines, mentor engineers, and drive standards, observability, and reusable IaC assets to support analytics and AI/ML workloads.
Top Skills:
Ai GatewaySparkAuto LoaderAzure IdentityAzure NetworkingAzure SecurityAzure StorageCassandraCi/CdDatabricksDatabricks LakehouseDelta LakeDelta Live Tables (Dlt)GenaiHadoopMedallion ArchitectureAzureModel ServingObservability/MonitoringPysparkPythonSQLStructured StreamingTerraformUnity CatalogVector Search
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
