SMB Recruiting · 6 hours ago
VP of Data Engineering & Architecture
United States
Full-time
Remote
Director/Executive
10+ years expSMB Recruiting is partnering with a leading Business Process Outsourcing (BPO) provider to find an exceptional Vice President of Data Engineering and Architecture. This role involves leading the strategy, design, and implementation of an enterprise data ecosystem to drive analytics, automation, and AI initiatives across the organization.
Staffing & Recruiting
Responsibilities
Design and implement scalable, high-performance data architectures — including data warehouses (AWS Redshift, SQL Server) and structured and unstructured data lakes — that support enterprise analytics and operational excellence
Lead the design, development, and maintenance of reliable data pipelines and integration processes, ensuring data is accurate, consistent, and easily accessible across business functions
Apply expertise in OLAP and OLTP system design to optimize database and query performance for analytical and transactional workloads
Partner with automation, AI, and software development teams to align data systems with business needs and integrate them into intelligent workflows
Develop AI-compatible data models that are efficient, scalable, and optimized for natural language querying, AI integration, and AI-driven analytics
Empower business teams by ensuring clean, well-structured data for Power BI and other analytics tools, driving timely and data-informed decision-making
Establish robust data governance standards, metadata management, and quality frameworks to ensure data integrity and compliance. Operationalize a master data management framework including regular measurement and maintenance of data libraries and compliance to standards
Build and mentor a high-performing team of data engineers and architects, fostering a culture of innovation, collaboration, and technical excellence
Qualification
Required
Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or a related field
10+ years of experience in data engineering, architecture, or related fields
Proven experience designing and implementing large-scale data warehouses and data lakes using AWS Redshift and/or SQL Server
Strong understanding of OLAP and OLTP systems, data modeling, and database optimization
Advanced proficiency in SQL and enterprise data integration practices
Experience with Power BI or similar BI tools for enterprise reporting and visualization
Excellent communication and stakeholder management skills, with the ability to bridge technical and business discussions
Demonstrated success working collaboratively with automation, analytics, and software development teams
Preferred
Familiarity with AI/ML data preparation, semantic data modeling, and natural language query enablement is a strong plus
Benefits
Competitive compensation packages
Comprehensive benefits
Commitment to employee development and internal mobility
Inclusive, people-first culture
Environment where innovation thrives
Company
SMB Recruiting
2-10 employeesFunding
Current Stage
Early StageCompany data provided by crunchbase