Senior Data Architect (AWS, Azure, GCP)
On-siteCharlotte, North Carolina, United States
Job Summary
Assess and advocate for data management technologies to eliminate gaps between current and future states while interpreting strategic plans for improved data integration and delivery. Formulate architectural trade-offs across solution options and lead teams of data engineers through design, implementation, and best practices. Provide insights to executive stakeholders and non-technical leaders to ensure data architecture recommendations maximize client value and align with strategic goals. Drive innovative technology solutions through thought leadership on emerging trends and partner with business development to demonstrate technical capabilities and estimate work plans. Mentor talent and share project outcomes to improve future delivery within the Data & Analytics practice area.
Required Qualifications
- 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
- Experience in recommending data governance best practices including MDM, security, privacy and policies
- Employees must be available to work onsite in a client location or a CapTech office as requested
- Applicants must be authorized to work directly for any employer in the United States without visa sponsorship
Desired Qualifications
- 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
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