Senior Systems Administrator, Data Platform SME
Location
United States
Posted
6 days ago
Salary
0
Seniority
Senior
Job Description
Senior Systems Administrator, Data Platform SME
Spry Methods, Inc.
• The Senior Systems Administrator / Data Platform SME will lead the administration and enhancement of an enterprise analytics platform supporting Marine Corps cybersecurity operations • This individual will develop and maintain secure data pipelines, administer Databricks environments, build advanced Qlik Sense dashboards, implement enterprise data governance practices, and ensure the platform remains reliable, secure, and optimized for operational use
Job Requirements
- Administer, optimize, and sustain the Advana data platform supporting enterprise cybersecurity reporting and analytics
- Design, develop, and maintain secure data ingestion pipelines, ETL/ELT processes, and enterprise data models utilizing Databricks and Qlik Sense
- Develop and enhance executive dashboards and visualizations that provide timely, accurate cybersecurity metrics and operational insights for Marine Corps leadership
- Integrate and manage eMASS data through secure API connections while ensuring data quality, validation, governance, and compliance with DoD standards
- Configure and administer Databricks environments, including PySpark, Spark SQL, Delta Lake, Unity Catalog, and enterprise security controls
- Develop advanced Qlik Sense applications utilizing load scripting, Set Analysis, custom extensions, and QMC administration
- Design and implement enterprise data governance processes, metadata management, and standardized reporting solutions
- Produce technical documentation including User Guides, SOPs, CONOPS, System Design Documentation (SDD), architecture diagrams, and operational procedures
- Support knowledge transfer through documentation, training, and collaboration with government personnel
- Collaborate with government stakeholders to gather requirements, resolve technical challenges, and continuously improve platform performance, security, and usability
Benefits
- Active DoD Secret Clearance
- Current DoD 8570/8140 IAT Level II certification (Security+, SSCP, GSEC, CCNA Security, or equivalent)
- Experience supporting enterprise systems within DoD or Federal environments
- Hands-on experience with the Advana platform and its integrated data and analytics capabilities
- Advanced experience with Databricks, including PySpark, Spark SQL, Delta Lake, Unity Catalog, and enterprise data governance
- Extensive experience developing and administering Qlik Sense solutions, including dashboard development, scripting, QMC administration, and security configuration
- Experience integrating REST APIs and working with Enterprise Mission Assurance Support Service (eMASS) data
- Expert SQL skills with experience designing relational databases, dimensional data models, and enterprise ETL/ELT pipelines
- Strong understanding of enterprise data governance, cybersecurity reporting, and secure data management practices
- Experience developing technical documentation and providing operational knowledge transfer
- Strong analytical, troubleshooting, communication, and collaboration skills.
Related Guides
Related Categories
Related Job Pages
More Data Engineer Jobs
Senior Data Engineer
ZepzUnlocking the prosperity of cross-border communities through finance and technology.
• Lead the development and management of our data platform. • Support critical data needs and developing foundational data models essential for advancing cross-border remittances business. • Leverage expertise in data warehousing, transformation, and modeling to build robust and scalable data solutions. • Manage all aspects of the build and deployment lifecycle of data movement and transformation processes. • Oversee user access and resource allocation for compute infrastructure, ensuring efficient scaling and utilization. • Ensure effective use of platform tools and resources for efficient ETL/ELT processing. • Provide technical leadership and mentorship to other data engineers within the team. • Evaluate and integrate new data technologies and tools to enhance the capabilities and efficiency of the data platform.
• Supporting and evolving the Tealium Customer Data Platform • Working closely with IT, Product, Marketing, and Analytics teams to deliver reliable customer data integrations, audience activation, and platform performance • Operational platform management — configuring audiences, push notifications, and website personalisation • Technical integration work, including APIs, webhooks, and maintaining data flows across systems
• CTG is seeking a Senior Data Engineer to design, build, and maintain scalable, efficient data pipelines and systems following modern data engineering best practices. • Design, build, and maintain scalable data pipelines, ETL/ELT workflows, and data models using Python, Apache Spark (PySpark), Databricks, dbt, SQL (PostgreSQL), and AWS Glue. • Develop and optimize AWS-native data platforms leveraging AWS Glue, Amazon EMR, Amazon MWAA (Apache Airflow), Lambda, Step Functions, Amazon S3, Redshift, RDS, DMS, and CloudWatch. • Build high-performance ingestion, transformation, and orchestration workflows for structured and semi-structured data using Apache Iceberg, Parquet, ORC, and Avro. • Design and optimize analytical data platforms using Amazon Athena, Trino, Hive, OpenSearch, and enterprise data catalog technologies. • Integrate enterprise and external data sources across relational and NoSQL platforms including PostgreSQL, Oracle, Redshift, GraphDB, and other NoSQL databases. • Build AI-enabled data solutions using Amazon Bedrock, RAG pipelines, and vector search technologies including Amazon S3 Vector and OpenSearch vector indexes. • Develop cloud infrastructure using CloudFormation (Infrastructure as Code), GitHub, Harness, and enterprise CI/CD pipelines while leveraging SNS, SQS, and EventBridge for event-driven architectures. • Improve the reliability, scalability, performance, and maintainability of enterprise data platforms through monitoring, troubleshooting, automation, and continuous optimization. • Support mission-critical analytics and reporting solutions within large-scale AWS-based federal data environments, implementing solutions that comply with FedRAMP and NIST 800-53 security controls. • Lead modernization initiatives migrating legacy platforms including IBM DataStage, Hadoop, RunDeck, and shell-based workflows to cloud-native AWS services. • Mentor junior engineers through technical guidance, architecture discussions, and code reviews while promoting engineering best practices. • Collaborate with cross-functional teams in an Agile environment to define requirements, deliver high-quality data solutions, and communicate technical concepts effectively to technical and non-technical stakeholders.
• Design, build, and maintain scalable data pipelines, ETL/ELT workflows, and data models using Databricks, dbt, Apache Spark (PySpark), SQL (PostgreSQL), and Python. • Develop and optimize AWS-native data solutions leveraging services including AWS Glue, Amazon EMR, Amazon MWAA (Apache Airflow), Lambda, Step Functions, Amazon S3, Redshift, RDS, DMS, and CloudWatch. • Build high-performance data ingestion, transformation, and orchestration workflows across structured and semi-structured data using Parquet, ORC, Avro, and Apache Iceberg. • Integrate data from enterprise and external sources, including relational and NoSQL databases such as PostgreSQL, Oracle, Redshift, GraphDB, and other NoSQL platforms. • Improve the reliability, scalability, performance, and maintainability of enterprise data platforms through monitoring, troubleshooting, and continuous optimization. • Develop and maintain automated deployment pipelines using Harness and collaborate on cloud infrastructure and platform improvements. • Support data engineering efforts powering mission-critical analytics, reporting, and decision-making across large-scale federal data environments. • Collaborate with cross-functional teams in an Agile environment to define requirements, deliver high-quality data solutions, and continuously improve engineering processes.
