CapTech Data Architects match our clients’ business goals with available technologies when developing a strategy for a successful data delivery implementation. We improve our clients’ business value by enhancing data use, improving effectiveness of information stewardship, and streamlining data flows.
Requirements
- 5+ years of experience implementing with a variety of on-premises and cloud data management, integration, visualization, and analytical technologies
- Advanced proficiency in end-to-end data architecture solutions including ingestion, storage and relational modeling leveraging industry standard languages including SQL and Python
- Demonstrated proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks
- Ability to assess traditional and modern data architectural components based on business needs
- Familiarity with recommending data governance best practices including MDM, security, privacy and policies
Responsibilities
- Assessing and advocating data management technologies and practices eliminating gaps between the current state and a well-targeted future state
- Interpreting and delivering impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps
- Formulating and articulating architectural trade-offs across solution options before recommending an optimal solution ensuring technical requirements are met
- Driving innovative technology solutions through thought leadership on emerging trends
- Sharing project solutions and outcomes with colleagues to improve delivery on future projects
- Partnering with CapTech business development team to demonstrate CapTech’s technical capabilities, envision a proposed solution CapTech can offer, and estimate proposed work plans.
Other
- Motivating and developing staff through teaching, empowering, and influencing technical and consulting “soft” skills
- Collaborating with client stakeholders and development staff to ensure data architecture recommendations maximize the value of client data across the organization
- Ability to think strategically and relate architectural decisions and recommendations to business needs and client culture
