Senior Data Architect
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About the role
Key Responsibilities
Manage the end-to-end development and execution of complex database projects.
Lead the planning and budgeting of staff and database resources to ensure project milestones are met.
Monitor project progress and reallocate technical resources as necessary to maximize benefits and efficiency.
Provide daily supervision, mentorship, and technical direction to support staff and engineering teams.
Develop and deliver high-level presentations on DBMS concepts and architectural strategies to diverse stakeholders.
Oversee the design and implementation of relational database environments, ensuring high availability and performance.
Analyze existing data architectures and identify opportunities for modernization and integration.
Ensure all database projects adhere to strict security, compliance, and government data standards.
Serve as a primary technical advisor on the selection and utilization of database technologies and tools.
Required Experience/Clearance
Active TS/SCI with Polygraph
Bachelor’s Degree in Computer Science, Information Systems, or a related field.
8+ years of experience in data architecture and database management.
Extensive knowledge of relational database environments (RDBMS) and data modeling.
Proven experience in managing technical teams and supervising support staff on large-scale projects.
Demonstrated ability to manage project budgets and reallocate resources in a dynamic environment.
Desired Experience
We encourage all candidates who meet the basic requirements to apply, even if you do not have any of the following experience:
Experience with modern data platforms such as Databricks or Snowflake.
Familiarity with big data processing frameworks like Apache Spark.
Knowledge of cloud-native database architectures within AWS, Azure, or Google Cloud.
Experience using GitLab for version control and Jira for project management.
Professional certifications in Data Architecture or specific DBMS platforms (e.g., Oracle, SQL Server, AWS Certified Data Engineer).
Familiarity with Data Lakehouse or Data Mesh architectural concepts.
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