> Markdown version of [/jobs/ext/4598362-databricks-resident-solution-architect](https://www.wearedevelopers.com/jobs/ext/4598362-databricks-resident-solution-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Databricks Resident Solution Architect - **Company:** RELQ TECHNOLOGIES LLC - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Temporary to permanent - **Skills:** Unity 3d, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, Cloud Computing, Continuous Integration, Customer Data Management, Data Architecture, Information Engineering, Data Governance, Data Masking, Data Warehousing, Apache Hadoop, Python (Programming Language), PCI Data Security Standards, Performance Tuning, Role-Based Access Control, Migration Manager, DataOps, SQL Databases, Teradata SQL, Enterprise Software Applications, Cloud Platform System, Fast Healthcare Interoperability Resources, Snowflake, Apache Spark, Data Lakes, Pyspark, Data Lineage, Health Level Seven International, Integration Frameworks, Machine Learning Operations, Amazon Redshift, Databricks - **Published:** November 6, 2026 - **Apply:** https://www.careerbuilder.com/job-details/databricks-resident-solution-architect-fl--0a757f6d-2882-4507-90ae-96f460d5f7c0 ## About the Role Rural Contracts, Embedded Systems, Enterprise Applications, Performance Tuning/Optimization, Leadership, Customer/Client Research, Data Science, Artificial Intelligence (AI), Cloud Computing, SQL (Structured Query Language), Databricks Champion Certification (or Databricks Certified Solutions Architect Professional) is strongly preferred.Experience: 8 10+ years of total experience in data engineering/architecture, with 3 5+ years of dedicated, hands-on experience on Databricks. Stack Expertise: Deep knowledge of Apache Spark, Python/PySpark, SQL, Delta Lake, Unity Catalog, and MLflow. Cloud Platforms: Hands-on architecture experience on AWS, Azure, or GCP cloud ecosystems (networking, storage, security services). Remote Delivery: Proven track record of independently leading enterprise client architecture and communicating effectively with technical and business stakeholders in a 100% remote setting. Preferred Industry ContextStrong candidates will hold deep domain architecture experience in at least one of these verticals:1. Public SectorFamiliarity with federal, state, or municipal regulatory standard requirements (e.g., FedRAMP, CJIS, FISMA, HIPAA).Experience architecting secure, compliant cloud-data frameworks for public entities.2. Banking & Financial Services (BFSI)Hands-on design of high-throughput transactional analytics, risk models, or anti-fraud data pipelines.Strict adherence to SOC2, PCI-DSS, RBAC security patterns, data masking, and financial audit standards.3. Healthcare & Life SciencesExperience managing Sensitive Personal Data (PHI/PII) under HIPAA compliance utilizing Unity Catalog encryption and masking standards.Familiarity with healthcare schemas and data standards (e.g., FHIR, HL7, OMOP). ## Description Role SummaryWe are seeking a senior Databricks Resident Solution Architect for a long-term remote contract engagement. In this embedded advisory role, you will act as the principal Databricks authority, leading end-to-end architecture, migration, and performance optimization for complex enterprise client environments. You will collaborate remotely with customer data engineering, data science, and C-suite leadership to design scalable Lakehouse architectures, set up unified data governance, tune Spark workloads, and accelerate enterprise AI/ML adoption. Key ResponsibilitiesEnterprise Lakehouse Architecture: Lead remote design and delivery of modern Databricks Lakehouse environments using Delta Lake, Unity Catalog, Delta Live Tables (DLT), and Databricks SQL. Embedded Technical Advisory: Serve as the client's dedicated resident architect, translating business and analytics needs into technical implementations. Optimization & Performance Tuning: Conduct deep-dive audits on large-scale Apache Spark workloads, PySpark code, dynamic cluster allocations, and SQL queries to reduce runtime and cloud costs. Governance & Security: Architect robust access control, column/row-level security, data lineage, and privacy rules using Unity Catalog to meet domain-specific compliance requirements. Migration Strategy: Lead technical planning for migrating legacy data warehouses and big data platforms (e.g., Snowflake, Teradata, Hadoop, Redshift) over to Databricks. CI/CD & MLOps Infrastructure: Partner with engineering teams to establish automated CI/CD pipelines, MLflow tracking, and modern data operations practices. Candidate QualificationsCore Technical Requirements & CertificationsPriority Certification