Lead Data Architect (AWS, Azure, GCP)

Captech Ventures - Richmond, VA

Full-time - Mid Level

Richmond, VA

Professional, Scientific, and Technical Services

About the position

The Data Architect at CapTech plays a crucial role in aligning clients' business goals with effective data management technologies. This position focuses on enhancing data use, improving information stewardship, and streamlining data flows to deliver successful data implementations. Data Architects are seen as thought leaders, responsible for growing talent within the organization and expanding data and analytics capabilities.

Responsibilities

• Assess and advocate for data management technologies and practices to eliminate gaps between current and future states.
• Interpret and deliver strategic plans to improve data integration, quality, and delivery in support of business initiatives.
• Formulate and articulate architectural trade-offs across solution options before recommending optimal solutions.
• Lead teams of data engineers and technical members through design, implementation, and best practices.
• Provide insights to executive stakeholders and development teams to maximize the value of client data.
• Ensure solutions provide business value and align with clients' strategic goals.
• Communicate with non-technical executives about the value of modern enterprise-level data solutions.
• Drive innovative technology solutions through thought leadership on emerging trends.
• Share project solutions and outcomes with colleagues to improve future project delivery.
• Lead within the Data & Analytics practice area focused on growing capabilities and talent.
• Partner with business development to demonstrate technical capabilities and propose solutions.

Requirements

• 7+ years of experience with on-premises and cloud data management, integration, visualization, and analytical technologies.
• Advanced proficiency in modern data architectures and concepts such as cloud services (AWS, Azure, GCP), real-time data distribution (Kafka, Kinesis), NoSQL databases (MongoDB, DynamoDB), and data warehouse tools (Snowflake, DataBricks).
• Advanced proficiency in end-to-end data architecture solutions including ingestion, storage, and relational modeling using SQL and Python.
• Ability to think strategically and relate architectural decisions to business needs.
• Experience in recommending data governance best practices including MDM, security, and privacy policies.
• Experience leading enterprise engineering teams through implementations.

Nice-to-haves

• Previous consulting industry experience.
• Experience in providing thought leadership and internal engagement across the enterprise.
• Participation in mentorship and talent growth within the Data & Analytics practice area.
• Awareness of emerging technologies and skills in the data landscape.

Benefits

• Generous PTO
• Health coverage
• Disability insurance
• Paid family leave
• CapFlex - hybrid workforce support
• Learning & Development programs
• Modern Health mental health platform
• Carrot Fertility coverage
• Fringe stipend program for lifestyle benefits
• Employee Resource Groups for diversity and inclusion
• Philanthropic Partnerships for community engagement
• 401(k) Matching with no vesting period