Posted today
Public Trust
Senior Level Career (10+ yrs experience)
$180,000 - $230,000
No Traveling
IT - Data Science
Remote/Hybrid•Reston, VA•Washington, DC•Camp Springs, MD•Alexandria, VA
Seeking a strong Lead Principal Data Solutions Architect Primary focus will be in Natural language processing (NLP), applying data mining techniques, doing statistical analysis and building high quality prediction systems.
RESPONSIBILITES:
· Leading system architecture decisions, ensuring technical alignment across teams, and advocating for best practices in cloud and data engineering.
· Serve as a senior technical leader and trusted advisor, driving architectural strategy and guiding development teams through complex solution design and implementation
· Serve as the lead architect and technical authority for enterprise-scale data solutions, ensuring alignment with strategic objectives and technical standards.
· Drive system architecture design, including data modeling, integration patterns, and performance optimization for large-scale data warehouses.
· Provide expert guidance to development teams on Agile analytics methodologies and best practices for iterative delivery.
· Act as a trusted advisor and advocate for the government project lead, translating business needs into actionable technical strategies.
· Oversee technical execution across multiple teams, ensuring quality, scalability, and security compliance.
· Evaluate emerging technologies and recommend solutions that enhance system capabilities and operational efficiency.
REQUIREMENTS/SKILLS:
· Bachelor of Science degree in Computer Science, Engineering or related subject and at least 10 years of experience leading architectural design of enterprise-level data platforms, with significant focus on Databricks Lakehouse architecture.
· Experience within the Federal Government, specifically DHS is preferred.
· Must possess demonstrable experience with Databricks Lakehouse Platform, including Delta Lake, Unity Catalog for data governance, Delta Sharing, and Databricks SQL for analytics and BI workloads.
· Must demonstrate deep expertise in Databricks Lakehouse architecture, medallion architecture (Bronze/Silver/Gold layers), Unity Catalog governance framework, and enterprise-level integration patterns using Databricks workflows and Auto Loader.
· Knowledge of and ability to organize technical execution of Agile Analytics using Databricks Repos, Jobs, and collaborative notebooks, proven by professional experience.
· Expertise in Apache Spark on Databricks, including performance optimization, cluster management, Photon engine utilization, and Delta Lake optimization techniques (Z-ordering, liquid clustering, data skipping).
· Proficiency in Databricks Unity Catalog for centralized data governance, metadata management, data lineage tracking, and access control across multi-cloud environments.
· Experience with Databricks Delta Live Tables (DLT) for declarative ETL pipeline development and data quality management.
· Certification in one or more: Databricks Certified Data Engineer Associate/Professional, Databricks Certified Solutions Architect, AWS, Apache Spark, or cloud platform certifications.
DESIRED REQUIREMENTS/SKILLS:
· Expertise in ETL tools.
· Advanced knowledge of cloud platforms (AWS preferred; Azure or GCP a plus).
· Proficiency in SQL, PL/SQL, and performance tuning for large datasets.
· Understanding of security frameworks and compliance standards in federal environments.
RESPONSIBILITES:
· Leading system architecture decisions, ensuring technical alignment across teams, and advocating for best practices in cloud and data engineering.
· Serve as a senior technical leader and trusted advisor, driving architectural strategy and guiding development teams through complex solution design and implementation
· Serve as the lead architect and technical authority for enterprise-scale data solutions, ensuring alignment with strategic objectives and technical standards.
· Drive system architecture design, including data modeling, integration patterns, and performance optimization for large-scale data warehouses.
· Provide expert guidance to development teams on Agile analytics methodologies and best practices for iterative delivery.
· Act as a trusted advisor and advocate for the government project lead, translating business needs into actionable technical strategies.
· Oversee technical execution across multiple teams, ensuring quality, scalability, and security compliance.
· Evaluate emerging technologies and recommend solutions that enhance system capabilities and operational efficiency.
REQUIREMENTS/SKILLS:
· Bachelor of Science degree in Computer Science, Engineering or related subject and at least 10 years of experience leading architectural design of enterprise-level data platforms, with significant focus on Databricks Lakehouse architecture.
· Experience within the Federal Government, specifically DHS is preferred.
· Must possess demonstrable experience with Databricks Lakehouse Platform, including Delta Lake, Unity Catalog for data governance, Delta Sharing, and Databricks SQL for analytics and BI workloads.
· Must demonstrate deep expertise in Databricks Lakehouse architecture, medallion architecture (Bronze/Silver/Gold layers), Unity Catalog governance framework, and enterprise-level integration patterns using Databricks workflows and Auto Loader.
· Knowledge of and ability to organize technical execution of Agile Analytics using Databricks Repos, Jobs, and collaborative notebooks, proven by professional experience.
· Expertise in Apache Spark on Databricks, including performance optimization, cluster management, Photon engine utilization, and Delta Lake optimization techniques (Z-ordering, liquid clustering, data skipping).
· Proficiency in Databricks Unity Catalog for centralized data governance, metadata management, data lineage tracking, and access control across multi-cloud environments.
· Experience with Databricks Delta Live Tables (DLT) for declarative ETL pipeline development and data quality management.
· Certification in one or more: Databricks Certified Data Engineer Associate/Professional, Databricks Certified Solutions Architect, AWS, Apache Spark, or cloud platform certifications.
DESIRED REQUIREMENTS/SKILLS:
· Expertise in ETL tools.
· Advanced knowledge of cloud platforms (AWS preferred; Azure or GCP a plus).
· Proficiency in SQL, PL/SQL, and performance tuning for large datasets.
· Understanding of security frameworks and compliance standards in federal environments.
group id: 10117305
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