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Codvo AI · IT - Software Development

Databricks Solution Architect

United States, Santa Clara · Job Posted June 03, 2026
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Job Responsibility

  • Engage with business stakeholders to understand goals, data sources, and analytic use cases
  • translate into a holistic Databricks-based solution
  • Design scalable data lakehouse architectures on Databricks (Delta Lake, Databricks SQL, Unity Catalog, Delta Live Tables) that support data ingestion, cleansing, modeling, governance, security, and analytics
  • Lead technical architecture decisions and produce high-quality artifacts (reference architectures, solution blueprints, data models, data governance models, and integration plans)
  • Architect data pipelines end-to-end (ingestion, transformation, storage, cataloging) with best practices for reliability, observability, and cost optimization
  • Enable data science and ML workflows on Databricks (MLflow, feature store, notebooks, Automated ML) and design end-to-end MLOps strategies
  • Ensure data governance, security, and compliance (IAM, encryption, Unity Catalog, data masking, lineage, access controls)
  • Collaborate closely with data engineers, data scientists, software engineers, and DevOps to deliver production-ready solutions
  • implement CI/CD for data and ML pipelines
  • Lead customer-facing activities: workshops, solution demos, proofs of concept, and responses to RFPs/RFIs
  • provide strategic guidance on platform adoption and ROI
  • Mentor and coach junior architects and engineers
  • develop training materials and run knowledge-sharing sessions
  • Monitor performance, optimize SQL and Spark workloads, manage cluster configurations, and drive cost/performance improvements

Requirements

  • 8+ years of experience in solutions/enterprise architecture or senior data engineering roles
  • 3+ years of hands-on experience with the Databricks platform and Spark-based architectures
  • Deep expertise in Databricks components: Delta Lake, Unity Catalog, Databricks SQL, Delta Live Tables, notebooks, and orchestration patterns
  • Strong cloud experience (AWS, Azure, or GCP) with data storage and compute services (e.g., S3/Blob, ADLS, GCS, Redshift, BigQuery, Synapse, EMR/Databricks on cloud)
  • Proficiency in data integration and orchestration tools (e.g., Apache Airflow, dbt, Kafka, Spark Structured Streaming)
  • Advanced SQL and programming skills (Python or Scala)
  • ability to prototype and review data pipelines, models, and analytics solutions
  • Excellent communication and stakeholder management skills
  • ability to present complex technical concepts to both technical and non-technical audiences
  • Experience delivering large-scale data lakehouse migrations/transformations, performance tuning, and cost optimization
  • Databricks certification(s) or equivalent demonstrable expertise
  • willingness to obtain relevant certifications if not already held

Nice to have

  • Experience with ML and MLOps on Databricks (MLflow, feature stores, model registry, CI/CD for ML)
  • Domain expertise in industries such as financial services, healthcare, retail, or telecommunications
  • Familiarity with data governance, privacy regulations, and security frameworks (e.g., GDPR, HIPAA, SOC 2)
  • Familiarity with real-time data processing and streaming architectures
  • Prior experience in pre-sales or solutioning for customers, including building compelling ROI stories and technical demos
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