Senior Data Architect

Benefits:

401(k)

Competitive salary

Dental insurance

Health insurance

Data Architect to support the Missile Defense Agency (MDA). The role of a Data Architect is a senior-level position that bridges the gap between business requirements and technical execution.

The Data Architect will be responsible for designing, deploying, and managing an organization's data architecture to ensure it supports strategic mission goals and vision.

The Data Architect's primary mission is to create a supporting vision and blueprint for data management systems. This involves everything from the initial design to the long-term maintenance of the data environment.

Architect will also be responsible for:

Developing an overall short term (next 2 years) and long term (5-7 year) organizational data strategy aligned with business or mission processes the strategic mission goals. The Data

Designing conceptual, logical, and physical data models to guide data structure and flow.

Coordinating and collaborating with cross-functional teams to integrate technical functionality and ensure data accessibility.

Implementing and auditing security measures to protect data integrity and ensure compliance with governance policies.

Planning and executing large-scale data solutions.

Managing the end-to-end data lifecycle, from platform selection to testing and implementation.

To be effective, the Data Architect must possess a deep understanding of database technologies, programming, and advanced analytics.

Basic Requirements:

Must have 10, or more, years of general (full-time) work experience

May be reduced with completion of advanced education

Must have 5, or more, years of directly related experience

Must have 1, or more, years of experience working in a management or leadership role

Must be proficient in SQL development, database administration, and both RDBMS (e.g., PostgreSQL, Oracle) and NoSQL (e.g., MongoDB, Cassandra) or equivalent.

Must have a mastery of visualization tools like PowerBI, Tableau or equivalent to present complex data insights.

Must have strong coding skills for automation and data manipulation like Python, Java, C/C++, Perl or equivalent.

Must have experience with cloud platforms such as AWS, Azure, or Google Cloud.

Must have an understanding of Machine Learning (ML), Natural Language Processing (NLP), and predictive modeling.

Must be familiar with MBSE and incorporating AI into legacy systems to streamline data output

Must have an active DoD Secret Security Clearance

Desired Requirements:

Have a Certified Data Management Professional (CDMP) certification

Have 1, or more, Cloud-Specific Certifications: AWS Certified Solutions Architect, Azure Solutions Architect Expert, or Google Professional Data Engineer.

Have a Cloudera Certified Professional (CCP) Data Engineer certification

Be an Oracle Database PL/SQL Developer Certified Professional.