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$127K–$190K is typical
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Doral, FL, United States
Open 4 months, first seen by us 126 days agoWork setup in the employer’s posting: On-siteFrom the employer’s posting
Employment type in the employer’s posting: Full-timeFrom the employer’s posting
Design, implement, and maintain scalable Data Lake architectures for structured and unstructured data
Configure and manage the Data Lake integration with the Stardog knowledge graph, including SPARQL access
Optimize ETL pipelines for high-volume data transformation at DoD IL-4/IL-5 security standards
Confirm access policy compliance quarterly and document results in a governance report
Implement storage tiering and access controls so data is classified, retained, and accessed per DoD rules
design, implement, and maintain scalable Data Lake architectures to support structured and unstructured data ingestion
configure and manage the integration interface between the Data Lake and the knowledge graph platform (Stardog), including SPARQL endpoint access
optimize ETL pipelines for high-volume data transformation, ensuring compliance with DoD IL-4/IL-5 security standards
confirm compliance with access policies on a quarterly basis and document the results in the Data Governance & Compliance Report
implement storage tiering strategies and access controls, ensuring data is properly classified, retained, and accessed per DoD governance requirements
Master’s degree or higher (e.g., Ph.D.) in Computer Science, Information Technology, Systems Engineering, Data Science, Business Administration, Engineering Management, or a closely related field, or - a minimum of eleven (11) years of experience managing complex technical projects in enterprise data architecture, Databricks administration, and cloud-based data platforms.
Knowledge and capability to support Data Lake platform administration and enterprise data architecture for DoD data-driven projects.
Proficient in ETL/ELT pipeline development, Delta Lake architecture and optimization, AI/ML workflow integration, and Data Lakehouse optimization for DoD analytics and mission-critical data workflows.
Hands-on expertise in Python, SQL/NoSQL, Apache Spark, Databricks SQL, Terraform, and cloud-native data services for large-scale data processing and analytics.
- Active TS/SCI Clearance. - Master’s degree or higher (e.g., Ph.D.) in Computer Science, Information Technology, Systems Engineering, Data Science, Business Administration, Engineering Management, or a closely related field, or - a minimum of eleven (11) years of experience managing complex technical projects in enterprise data architecture, Databricks administration, and cloud-based data platforms. - Knowledge and capability to support Data Lake platform administration and enterprise data architecture for DoD data-driven projects.
Open 4 monthsWe first saw this posting 126 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
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$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Day 126
Up longer than most. Similar jobs usually come down between day 5 and day 54.
From 10,703 similar postings that came down. Coming down is not always a hire.
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- Knowledgeable in identity and access management (IAM), role-based access control (RBAC), and cloud security best practices across AWS, Azure, and GCP. - Hands-on expertise in Python, SQL/NoSQL, Apache Spark, Databricks SQL, Terraform, and cloud-native data services for large-scale data processing and analytics. Additional Information
- Experienced in SysEngOps, DevSecOps, version control systems (Git), and CI/CD pipelines to streamline Data Lake development and deployment. - Knowledgeable in identity and access management (IAM), role-based access control (RBAC), and cloud security best practices across AWS, Azure, and GCP. - Hands-on expertise in Python, SQL/NoSQL, Apache Spark, Databricks SQL, Terraform, and cloud-native data services for large-scale data processing and analytics.
- Active TS/SCI Clearance. - Master’s degree or higher (e.g., Ph.D.) in Computer Science, Information Technology, Systems Engineering, Data Science, Business Administration, Engineering Management, or a closely related field, or - a minimum of eleven (11) years of experience managing complex technical projects in enterprise data architecture, Databricks administration, and cloud-based data platforms. - Knowledge and capability to support Data Lake platform administration and enterprise data architecture for DoD data-driven projects.
- Skilled in Data Lake platform administration, including workspace management and configuration, cluster optimization and performance tuning, cloud integration, and Unity Catalog integration for secure data governance. - Proficient in ETL/ELT pipeline development, Delta Lake architecture and optimization, AI/ML workflow integration, and Data Lakehouse optimization for DoD analytics and mission-critical data workflows. - Experienced in SysEngOps, DevSecOps, version control systems (Git), and CI/CD pipelines to streamline Data Lake development and deployment.
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SOSi is seeking a Data Lake Engineer to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances interoperability, governance, and mission-driven analytics for a DoD customer. The primary objective of the program is to bridge the operational gaps between DoD, IC, interagency, and non-traditional international partners to enable real-time information sharing, dynamic data integration, and mission-tailored analytical capabilities.
Essential Job Duties:
Work Environment
Working at SOSi
All interested individuals will receive consideration and will not be discriminated against for any reason.
Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.
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Doral, FL, United States
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