Job Title:
Senior Databricks ArchitectJob Description
We're Concentrix. The intelligent transformation partner. Solution-focused. Tech-powered. Intelligence-fueled.Senior Databricks Architect
Key responsibilities
Presales, client facing andsolutioning
Partner withlead consultantstoidentify, design and develophighvalue Databricks use cases.
Design anddeploy best in classarchitectures for data, analytics, and AI platforms built on Databricks and cloud services (Azure, AWS, or GCP).
Identifyopportunities to create IP and packageable solutions based on observed patterns and customer whitespaces
Drive architectural discussions with Client SME’s and technical resources during design phase of engagements
Address technicalobjections andbuild confidence with client architects and executives during the salesand deliverycycle.
Architecture and delivery leadership
Lead the design anddevelopmentof secure, scalable Databricks Lakehouse architectures, including Delta Lake, Unity Catalog, and integration with upstream and downstream systems.
Overseeandparticipateinthebuildof batch and streaming data pipelines, notebooks, and Databricks SQL assets using Spark, Python, and SQL, following medallion and other bestpractice patterns.
Help define and enforce engineering standards, including code quality, testing, CI/CD, observability, and operational readiness for Databricks workloads.
Collaborate with project managers and client stakeholders to plan releases, manage dependencies, mitigate risks, and ensure ontime,onbudgetdelivery.
Provide handson technical leadership to data engineers and analysts,reviewdesignsand code, andunblockcomplex technical issues.
Governance, operations, and adoption
Implement data governance and security practices using Unity Catalog and related tools, including access control, lineage, andcompliance alignedpolicies.
Optimizeperformance, reliability, and cost of Databricks workloads through cluster tuning, storage strategies, and monitoring.
Drive change management and enablement by creating documentation, runbooks, and training materials, andfacilitatingknowledge transfer to client teams.
Supportproduction,golive stabilization, ensuring robust handover to client operations or managed services teams.
Required qualifications
Excellent communication and presentation skills, with the ability to influence technical and nontechnical audiences.
Demonstrated ability to gatherrequirements, andtranslate business needs into technical designs and phased roadmaps.
Proven experiencedriving architecture and design indata or analytics projects in a consulting, professional services, or similar environment.
Extensivehandsonexperience designing and delivering data platforms and pipelines on Databricks, including Delta Lake, Jobs/Workflows, and Databricks SQL.
Strong programming skills in at least two of: Python,PySpark, and SQL, withdemonstratedability to buildperformantbatch and streaming solutions.
Solid understanding of cloud services (Azure,AWS,or GCP) relevant to Databricks deployments, such as storage, networking, identity, and DevOps tooling.
Experience implementing data governance, security, and access control in Lakehouse or data platform environments using Unity Catalog or similar tools.
Preferred qualifications
Experience with largescale data platform migrations or modernizations (e.g., from legacy ETL/warehouse tools to Databricks).
Exposure toenablingML/AI and GenAI workloads on Databricks, such as feature engineering pipelines,MLflow, or integration with LLM/GenAI services.
Multi-industrybackground(e.g., financial services, healthcare, manufacturing, public sector) with an understanding of common data and analytics use cases.
Priorresponsibility for mentoringengineers, or leadingmulti-workstream
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