Senior Data Architect, NANA Regional Corporation, Rockville, MD
NANA Regional Corporation -
Rockville, MD,
US
Senior Data Architect
Date Posted: 2024-06-17
Job description
OverviewWork Where it MattersAkima Data Management (ADM), an Akima company, is not just another federal IT contractor. As an Alaska Native Corporation (ANC), our mission and purpose extend beyond our exciting federal projects as we support our shareholder communities in Alaska.At ADM, the work you do every day makes a difference in the lives of our 15,000 Iupiat shareholders, a group of Alaska natives from one of the most remote and harshest environments in the United States.For our shareholders , ADM provides support and employment opportunities and contributes to the survival of a culture that has thrived above the Arctic Circle for more than 10,000 years.For our government customers , ADM delivers agile and innovative cloud and IT services and solutions that enable mission dominance.As an ADM employee , you will be surrounded by a challenging, yet supportive work environment that is committed to innovation and diversity, two of our most important values. You will also have access to our comprehensive benefits and competitive pay in addition to growth opportunities and excellent retirement options.Job Summary:ADM, an Akima, LLC company provides turnkey solutions that offer better systems, tools, and methods to further your goals, reduce costs, and streamline operations.From requirements analysis, design, and implementation to operations and training ADM's personnel are well-versed in best practices across Enterprise IT, Mission Support Services, and Specialized Technologies. ADM is looking for a Senior Data Architect to work in Rockville, MD. To join our team of outstanding professionals, apply today!ResponsibilitiesJob Responsibilities:
- Design and Build:
- Designs and builds robust and scalable solutions optimized for modern platforms (e.g. Big Data, Relational, No-SQL, and OLAP, OLTP)
- Data Modeling:
- Analyzes and translates business needs to create solution data models
- Works with Business Analysts, Architects, Database Administrators to design conceptual data models and data flows that help the organization's decision-making and customer experience processes
- Updates and improves local and metadata models
- Business Intelligence and Analytics:
- Contributes to the architecture and design of business intelligence solutions
- High-Level Architecture and Design:
- Provides technical thought leadership on high-level architecture, data modeling, and big data strategy
- Standards and Principles:
- Defines technical principles, vision, and standards for data warehouses
- Develops ideal data coding practices to ensure consistency within the system
- Evaluates changes to systems for data related cross-compatibility
- Data Integration:
- Develops and implements predictive data analytics data, while ensuring seamless integration
- Assesses implemented data systems to look for variances, discrepancies, and efficiency
- Scalability:
- Ensures the design can scale to handle additional data demands
- Ensures the delivery of a robust, scalable data architecture aligned with the organization's business goals
- Bachelor's degree (Master's preferred) in Computer Science, Engineering, Information Technology, or related fields
- 10+ years demonstrated experience architecting, documenting, and presenting cloud computing solutions for government clients in analytics, big data, predictive analytics, or AI/ML
- Relevant certifications like AWS, CDMP, MDM, DBA, SQL, SAP, TOGAF, API, or CISSP is beneficial
- Requires excellent communication skills; oral, written, analytical, and interpersonal skills
- The candidate must be a U.S. Citizen or a green card holder and be able to obtain
- Public Trust clearance
- Prior experience working with FDA and or HHS is a huge plus
- Experience with cloud platforms (e.g. AWS, Azure, Google Cloud)
- Understanding of distributed computing and parallel processing techniquesData Management and Governance:
- Expertise in data management practices, including data integration, data quality, data governance, and data security
- Knowledge of data lifecycle management, metadata management, and master data management
- Comprehensive understanding of data architecture principles, frameworks, and best practices
- In-depth knowledge of data modeling techniques, including conceptual, logical, and physical models
- Familiarity with various data storage technologies, such as relational databases (SQL), NoSQL databases (MongoDB, Cassandra), Oracle, data warehouses, and data lakes
- Knowledge of data analytics and visualization techniques