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Solutions Architect, Databricks
Agility Technologies IncDatabricks Architect designing secure federal data lakehouses and pipelines for Agility Technologies, a cloud implementation and digital transformation integrator. Leading compliance, governance, analytics, and real-time processing solutions for federal agencies.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing scalable Databricks data lakehouse architectures while ensuring compliance with federal standards. Proficient in developing data pipelines, optimizing performance, and leading cross-functional teams in delivering complex data solutions.
Highest-signal resume keywords
Databricks ExperienceApache Spark ExpertiseData Governance ImplementationFederal Compliance KnowledgeAdvanced SQL Proficiency
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Databricks SQLDelta LakePythonScalaJavaETL ProcessesData WorkflowsData ModelingReal-Time Data ProcessingMachine Learning Workflows
Soft Skills
Interpersonal SkillsCommunication SkillsMentoringTeam Leadership
Tools & Technologies
AWS GovCloudAzure GovernmentGoogle Cloud Public SectorMLflowTerraformCloudFormationKafkaAzure Event HubsAWS KinesisHadoop
Certifications & Qualifications
Advanced Databricks CertificationsAWS Certified Security – SpecialtyCCSPCISSPCISM
Industry Keywords
FedRAMPFISMANIST 800-53CMMCFederal Data Solutions
Tech Stack
Tools & technologiesApacheAWSAzureCloudCyber SecurityElasticSearchETLHadoopJavaKafkaNoSQLPythonPyTorchScalaScikit-LearnSparkSQLTensorflowTerraform
About the role
Key responsibilities & impact- Design and implement scalable Databricks data lakehouse architectures for federal data solutions
- Develop and optimize end-to-end data pipelines aligned with federal performance, security, and compliance requirements
- Implement data governance and security protocols under federal standards including FedRAMP, FISMA, and NIST
- Gather and analyze requirements with federal stakeholders and translate them into actionable data solutions
- Integrate Databricks with AWS GovCloud, Azure Government, and other federal cloud platforms
- Provide subject matter expertise on Databricks, Delta Lake, Databricks SQL, and Apache Spark
- Optimize Databricks clusters for cost efficiency, high availability, and performance
- Enable advanced analytics and machine learning workflows using MLflow and related frameworks
- Develop real-time data processing solutions for mission-critical federal applications
- Monitor federal data policies and align solutions with relevant compliance requirements
- Lead cross-functional teams and mentor technical teams on Databricks best practices
Requirements
What you’ll need- 5–10 years of experience in data engineering, data architecture, or distributed data processing
- At least 3+ years of hands-on Databricks experience
- Proficiency in Databricks SQL, Delta Lake, and the Lakehouse platform
- Expertise in Apache Spark and distributed data processing frameworks
- Advanced knowledge of Python, Scala, or Java
- Hands-on experience with AWS GovCloud, Azure Government, or Google Cloud Public Sector
- Strong knowledge of ETL processes, data workflows, and data transformation pipelines
- Strong understanding of data lakes, data warehouses, data modeling, and schema design
- Experience implementing data governance and security protocols in regulated environments
- Knowledge of FISMA, FedRAMP, NIST 800-53, and CMMC
- Experience securing federal data architecture, including encryption and access control
- Advanced SQL expertise for querying and managing large relational datasets
- Familiarity with NoSQL databases
- Ability to lead cross-functional teams delivering complex data solutions
- Strong interpersonal and communication skills for engaging federal stakeholders
- Experience training and mentoring technical teams on Databricks best practices
- Preferred: CI/CD pipelines and Databricks workflow/notebook deployment
- Preferred: Infrastructure-as-Code tools such as Terraform, CloudFormation, or ARM templates
- Preferred: Machine learning pipelines and Databricks MLflow
- Preferred: TensorFlow, PyTorch, or Scikit-learn
- Preferred: Kafka, Azure Event Hubs, or AWS Kinesis
- Preferred: Hadoop, Flink, or Elasticsearch
- Preferred: Real-time analytics and event-driven architectures
- Preferred: Preparing technical documentation, reports, and presentations for federal audiences
- Advanced Databricks certifications are preferred
- Federal cloud and cybersecurity certifications such as AWS Certified Security – Specialty, CCSP, CISSP, or CISM are preferred
- Public Trust or higher clearance eligibility and prior federal client experience are preferred
Benefits
Comp & perks- 401(k) matching
- Dental insurance
- Health insurance
- Paid time off
- Parental leave
- Vision insurance