Data Architect, Global
Responsible for defining and documenting architectural standards. Provide technical and team leadership for all projects that involve data and data architecture. Act as the subject matter expert analyzing technologies to solve problems associated with business intelligence, analytics, data visualization, etc. Serve as a leader to more junior staff, provide insight to other functional teams including client executives.
Responsible for architecting database models to meet client business requirements. Defines data requirements and business rules. Gathers and refines requirements, designs database structures, writes model definitions and metadata, and reviews models for accuracy, adherence to standards, and architectural conformity. Performs physical data modeling. Implements and tests database designs.
Plans for collection method, data cleansing, and normalization of enterprise data to support decision making and reporting. Assures integrity of data, software, and hardware. Develops policies and procedures related to development and support of new and ongoing systems. Coordinates data models, dictionaries, and other database documentation across multiple applications. Works with data transformation teams to ensure design is properly communicated.
Exceptional communication and project management skills, ability to manage multiple projects / efforts in parallel with one another.
REQUIRED EDUCATION/SKILLS: Bachelor's degree in Computer Science (or related experience).
Required Technical Skills:
4 + years experience in the design and development of data architectures, including conceptual and physical data modeling
4 + years experience in data warehouses, analytics (extra points for predictive analytics), data integration and semantic search
4 + years experience architecting database models
4 + years experience designing database structures
4 + years experience with RDBMS technologies Oracle, PostGres or MySQL
3 + years experience working with large, complex data applications including data warehouses
3 + years experience in logical and physical data modeling
2 + years experience with NoSQL databases (Hadoop, Cassandra, Redis, MongoDB) and MapReduce
2 + years experience within a Unix / Linux environment
2 + years experience with PHP, Perl, Ruby, Python, Lisp
2 + years experience in requirements analysis and systems analysis
Database Certifications: Certified Data Management Professional