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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Solutions/Databricks Architect - **Company:** PCI PROFESSIONAL SERVICES LLC - **Location:** United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Cloud Computing Security, Cyber Security, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Transformation, Data Systems, Data Warehousing, Relational Databases, Distributed Computing Environment, Elasticsearch, Apache Hadoop, Python (Programming Language), NoSQL, Tensorflow, SQL Databases, Data Streaming, Google Cloud, Pytorch, Apache Spark, Cloudformation, Event Driven Architecture, Data Lakes, Scikit Learn, Infrastructure Automation Frameworks, Apache Flink, Apache Kafka, Data Management, Machine Learning Operations, Terraform, Stream Processing, Stream Analytics, Databricks - **Published:** August 17, 2026 - **Apply:** https://jobs.military.com/career/309136/solutions-databricks-architect-alabama-al-atmore ## About the Role * Bachelor's degree in a related discipline\n * 5-10 years of experience in data engineering, data architecture, or distributed data processing, with at least 3+ years of hands-on experience with Databricks.\n * Public Trust (or higher) clearance eligibility\n * Proficiency in Databricks, including Databricks SQL, Delta Lake, and the Lakehouse platform.\n * Expertise in Apache Spark and distributed data processing frameworks.\n * Advanced knowledge of Python, Scala, or Java for data engineering and analytics.\n * Hands-on experience with cloud platforms designed for federal use, such as AWS GovCloud, Azure Government, or Google Cloud Public Sector.\n * Strong knowledge of ETL processes, data workflows, and data transformation pipelines.\n * Strong understanding of data lakes, data warehouses, data modeling, and schema design.\n * Experience implementing data governance and security protocols within regulated environments.\n * Knowledge of federal compliance standards, such as FISMA, FedRAMP, NIST 800-53, and CMMC (Cybersecurity Maturity Model Certification).\n * Experience in securing data architecture for federal agencies, including encryption and access control best practices.\n * Advanced expertise with SQL for querying and managing large datasets in relational databases.\n * Familiarity with NoSQL databases and their use cases.\n * Proven ability to lead cross-functional teams in the delivery of complex data solutions.\n * Strong interpersonal and communication skills to engage with federal stakeholders and align technical solutions to mission objectives.\n * Experience training and mentoring technical teams on Databricks best practices.\n, * Expertise in CI/CD pipelines and deployment of Databricks workflows and notebooks.\n * Experience with Infrastructure-as-Code (IaC) tools such as Terraform, CloudFormation, or ARM templates.\n * Strong understanding of machine learning pipelines and operationalizing models in Databricks MLflow.\n * Familiarity with AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn.\n * Experience with real-time data streaming using Kafka, Azure Event Hubs, or AWS Kinesis.\n * Knowledge of other Big Data tools and frameworks such as Hadoop, Flink, or Elasticsearch.\n * Experience with real-time analytics and event-driven architectures in mission-critical systems.\n * Ability to work in highly regulated environments with federal stakeholders.\n * Expertise in managing multiple priorities, meeting deadlines, and adapting to evolving client needs.\n * Experience in preparing technical documentation, reports, and presentations tailored to federal audiences.\n * Advanced Databricks certifications (e.g., Databricks Certified Professional Data Engineer).\n * Certifications in federal cloud and cybersecurity standards (e.g., AWS Certified Security - Specialty, CCSP, CISSP, or CISM).\n * Prior federal client experience.\n ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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