Full-Time Data Architect (AWS, Azure, GCP)

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.

After gaining in-depth understanding of our client’s business challenges, our architects apply experience-based insight and use state-of-the-art tools and techniques to identify the best solutions.

We view our Data Architects as thought leaders in the data space. We task them with growing CapTech talent and expanding data and analytics delivery capabilities.

Specific responsibilities for the Data Architect position include:

• 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
• 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
• 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.

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 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
• Familiarity with recommending data governance best practices including MDM, security, privacy and policies

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