Data Solution Architect Job Description Template
Our company is looking for a Data Solution Architect to join our team.
Responsibilities:
- Evangelize the value of Pivotal products in architectures and deployments;
- Ensure that logical and physical data models support the analytic needs of the business;
- Define the overall BI data architecture, including ETL processes, ODS, EDW, data marts and data lakes;
- Develop a practical line of service roadmap for BI reporting and analytics platform;
- Provide BI technical and architectural guidance to projects and teams, ensuring that new initiatives enable effective data reporting;
- Collaborate with key business users to identify needs and opportunities for improved data management and delivery;
- Develop strategies for workflow, rules, integration management and governance;
- Stay current on technologies, technology trends and directions, and best practices. Evaluate potential technologies for use within the enterprise;
- Develop guiding principles, reference architectures, technology landscapes, standards, best practices and roadmaps that support business priorities;
- Ensure reference architectures, technology stacks, standards and processes meet security and regulatory requirements;
- Ensure effective communication of user requirements;
- Provide technical leadership regarding integration impact across business, information, application, technical and security architectures;
- Collaborate with data stewards in establishing and maintaining resilient, reusable standardized data patterns;
- Participate in high-level project estimation, system design, modeling, and solution design reviews;
- Recommend appropriate technologies to support the implementation of the BI roadmap including Microsoft PowerBI and SAP Business Objects.
Requirements:
- Experience maturing SDLC principles, processes and practices;
- Experience with enterprise workflow, rules and orchestration technologies;
- Experience partnering with end users to gather requirements and build technical solutions from concept to implementation;
- Understanding of SaaS and off-premise integration architectures;
- Bachelor’s Degree in Computer Science, Engineering, MIS or related field;
- Ability to facilitate meetings and delegate responsibilities;
- Experience in the design and building of enterprise data warehouses;
- Excellent experience in developing and understanding of data modeling, SQL and ETL;
- 8+ years of experience in enterprise architecture, application integration architecture, software development, or engineering.