{"schemaVersion":"jobsearcher.job.v1","id":"a93043ecbe1f5bcbd81a65eb","url":"https://jobsearcher.com/jobs/a93043ecbe1f5bcbd81a65eb","canonicalUrl":"https://jobsearcher.com/jobs/a93043ecbe1f5bcbd81a65eb","title":"Data Solution Architect","description":"Data Solution ArchitectOverall Stack: Databricks Lakehouse Platform, Apache Spark, Delta Lake, Unity Catalog, and modern cloud data architectureMust HaveLakehouse & Medallion Architecture: Expertise in designing end-to-end data architectures (Bronze, Silver, Gold layers) for reliable, production-ready pipelinesDatabricks & Spark Internals: Deep understanding of distributed computing. They must know how to troubleshoot and tune large-scale Spark jobs using caching, partitioning, and broadcast joinsDelta Lake: Must understand ACID transactions, schema enforcement, time travel, and optimization operations like Z-orderingUnity Catalog & Data Governance: Proven ability to design unified governance models for data and AI assets, including role-based access control (RBAC), row/column-level security, and data lineageCloud Infrastructure (AWS, Azure, or GCP): Strong grasp of the native cloud ecosystem they work in (e.g., ADLS/Entra for Azure, S3/IAM for AWS), including Virtual Network (VNet) setups and IAM rolesCoding Proficiency: Advanced SQL skills and fluency in Python or ScalaCost Optimization & Performance Tuning: Ability to monitor DBUs (Databricks Units), right-size serverless and multi-node clusters, and implement best practices for avoiding cloud bill shockNice to HaveDatabricks Certifications: Candidates holding valid Databricks Certified Data Architect or Databricks Certified Data Engineer Professional badges generally have a proven, up-to-date baseline of the platform's featuresGenerative AI & MLflow Integration: Experience building, deploying, and monitoring GenAI applications and ML models using Databricks Model Serving, Vector Search, and the Mosaic AI suiteCI/CD & DevOps Practices: Experience automating Databricks workflows using Git (Databricks Repos) and orchestration tools like dbt, Azure Data Factory, or Apache AirflowStreaming Data: Familiarity with Databricks Structured Streaming and Auto Loader for real-time data ingestion and processingData Warehousing & BI: Understanding of Databricks SQL, Serverless Warehouses, and integration with downstream BI tools like Power BIREMOTEADVANCED ENGLISHONLY MEXICO","company":"Valce Talent Solutions","rawCompany":"valce talent solutions","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-10-16T14:07:39.208Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Solution Architect","description":"Data Solution ArchitectOverall Stack: Databricks Lakehouse Platform, Apache Spark, Delta Lake, Unity Catalog, and modern cloud data architectureMust HaveLakehouse & Medallion Architecture: Expertise in designing end-to-end data architectures (Bronze, Silver, Gold layers) for reliable, production-ready pipelinesDatabricks & Spark Internals: Deep understanding of distributed computing. They must know how to troubleshoot and tune large-scale Spark jobs using caching, partitioning, and broadcast joinsDelta Lake: Must understand ACID transactions, schema enforcement, time travel, and optimization operations like Z-orderingUnity Catalog & Data Governance: Proven ability to design unified governance models for data and AI assets, including role-based access control (RBAC), row/column-level security, and data lineageCloud Infrastructure (AWS, Azure, or GCP): Strong grasp of the native cloud ecosystem they work in (e.g., ADLS/Entra for Azure, S3/IAM for AWS), including Virtual Network (VNet) setups and IAM rolesCoding Proficiency: Advanced SQL skills and fluency in Python or ScalaCost Optimization & Performance Tuning: Ability to monitor DBUs (Databricks Units), right-size serverless and multi-node clusters, and implement best practices for avoiding cloud bill shockNice to HaveDatabricks Certifications: Candidates holding valid Databricks Certified Data Architect or Databricks Certified Data Engineer Professional badges generally have a proven, up-to-date baseline of the platform's featuresGenerative AI & MLflow Integration: Experience building, deploying, and monitoring GenAI applications and ML models using Databricks Model Serving, Vector Search, and the Mosaic AI suiteCI/CD & DevOps Practices: Experience automating Databricks workflows using Git (Databricks Repos) and orchestration tools like dbt, Azure Data Factory, or Apache AirflowStreaming Data: Familiarity with Databricks Structured Streaming and Auto Loader for real-time data ingestion and processingData Warehousing & BI: Understanding of Databricks SQL, Serverless Warehouses, and integration with downstream BI tools like Power BIREMOTEADVANCED ENGLISHONLY MEXICO","datePosted":"2026-10-16T14:07:39.208Z","dateModified":"2026-10-16T14:07:39.208Z","hiringOrganization":{"@type":"Organization","name":"Valce Talent Solutions","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"a93043ecbe1f5bcbd81a65eb"},"url":"https://jobsearcher.com/jobs/a93043ecbe1f5bcbd81a65eb"}}