CapTech is looking to solve the business problem of improving clients' business value by enhancing data use, improving effectiveness of information stewardship, and streamlining data flows.
Requirements
- 7+ years of experience implementing with a variety of on-premises and cloud data management, integration, visualization, and analytical technologies
- Advanced 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
- Advanced proficiency in end-to-end data architecture solutions including ingestion, storage and relational modeling leveraging industry standard languages including SQL and Python
- Ability to think strategically and relate architectural decisions and recommendations to business needs and client culture
- Ability to assess traditional and modern data architectural components based on business needs
- Experience in recommending data governance best practices including MDM, security, privacy and policies
- Experience leading enterprise engineering teams through implementations serving as POC on design decisions and best practices
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
- Leading teams of data engineers and other technical team members through design, implementation and best practices.
- Providing insights to executive stakeholders and development teams to ensure data architecture recommendations maximize the value of client data across the organization
- Works to ensure the solutions recommended are providing business value and alignment with client’s strategic goals
- Driving innovative technology solutions through thought leadership on emerging trends
Other
- Previous consulting industry experience
- Providing thought leadership and internal engagement with leadership and innovation across enterprise
- Participating in providing mentorship and investing talent growth within Data & Analytics practice area
- Awareness and continued education around emerging technologies and skills in data landscape
- Leadership within the Data & Analytics practice area focused on growing and development capabilities and talent
