Job Title

We are seeking a Databricks Architect to lead data platform strategy, define scalable architectures, and drive delivery excellence across enterprise programs. This role demands strong technical leadership, client engagement skills, and ownership of large-scale, cloud-native data implementations.Key ResponsibilitiesDefine and drive enterprise data strategy, including Lakehouse architecture and roadmapArchitect and implement scalable, secure, and high-performance data platforms on Databricks across cloud environmentsLead end-to-end data platform modernization and transformation initiativesEstablish best practices for data engineering, CI/CD, DevOps, and data governanceDrive performance optimization, cost efficiency, and platform scalabilityDesign and enforce data security, compliance, and governance frameworksAct as a trusted advisor to senior stakeholders, translating business needs into technical solutionsLead, mentor, and scale high-performing cross-functional data engineering teamsSupport pre-sales activities including solution architecture, estimations, and client presentationsRequirementsCore QualificationsBachelor’s degree in Computer Science, Information Technology, or a related field8+ years of experience in data engineering, analytics, or big data platformsProven track record of architecting and delivering Databricks-based solutions at scaleAlong with experience with Databricks and at least one cloud data warehouse platform (e.g., Amazon Redshift, Snowflake, Google BigQuery, or Oracle Cloud Data Warehouse)Strong understanding of data warehousing concepts, dimensional modeling, and query optimization across platformsStrong understanding of Apache Spark internals and performance tuningHands-on experience with at least one major cloud platform (AWS, Azure, or GCP)Experience implementing data governance frameworks (e.g., Unity Catalog, data lineage, metadata management)Excellent stakeholder management and communication skillsDemonstrated experience leading teams and managing complex project deliveryExperience designing multi-cloud or hybrid data architecturesExposure to ML engineering and MLOps within the Databricks ecosystemDatabricks Certified Professional or Architect certificationWhy Join UsImpact: Shape the data strategy and architecture of a fast-growing venture ecosystemCulture: Work in a collaborative, ownership-driven environment that values innovationGrowth: Access continuous learning, mentorship, and leadership opportunitiesBenefits: Competitive compensation, comprehensive health benefits, and flexible work options