Lead Data Architect

VSG Business Solutions LLC; Minneapolis (MN); On-site; USD 140,000 - 210,000; Full time

Job summary

VSG Business Solutions LLC in Minnesota seeks a Lead Data Architect to define and advance enterprise data architecture in a large-scale cloud environment. This senior leadership role blends strategic direction with hands-on technical execution to modernize data platforms and enable advanced analytics.

You will set standards, guide data engineering teams, govern data quality and security, and collaborate with risk, compliance, and business groups to translate requirements into scalable data

Qualifications

• Bachelor's degree in a technical field.
• 10+ years in data engineering/architecture.
• 5+ years designing cloud data platforms.
• Strong SQL and Python skills.
• Experience with Spark and ETL/ELT.
• Knowledge of data governance and security.

Responsibilities

• Define and evolve enterprise data architecture and models.
• Lead design for cloud-based data platforms.
• Guide data governance, security, and quality standards.
• Mentor Data Engineers and provide architectural direction.
• Oversee data pipelines, ETL/ELT practices.
• Support data modernization and AI readiness.

Skills

SQL

Python

Spark

ETL/ELT

Data modeling

Data governance

Architecture leadership

Cloud data platforms

Regulated environments

Education

Bachelor's degree

Tools

Azure

Databricks

Snowflake

Power BI

Microsoft Fabric

Job description

Location: Minnesota ( Candidate must be ready to travel anywhere around Minnesota)

Client's Industry: Financial Services / Regulated Environment

Position Overview

Empowers Staffing is recruiting an experienced Lead Data Architect for a financial services organization.

This is a senior technical leadership position responsible for defining and advancing enterprise data architecture while helping modernize a large-scale cloud data environment.

The successful candidate will establish architecture standards, guide data engineering teams, design scalable data solutions, strengthen governance and security, and help prepare the organization's data environment for advanced analytics and AI.

The position requires someone who can operate at the architecture and strategy level while remaining technically hands-on.

Key Responsibilities

• Define and evolve enterprise data architecture, standards, models, and design patterns.
• Lead architecture and solution design for modern cloud-based data platforms.
• Design scalable environments supporting analytics, reporting, operational data, and advanced data use cases.
• Establish architectural standards for data integration, security, governance, quality, performance, and reliability.
• Provide technical leadership and mentorship to Data Engineers and other technical professionals.
• Serve as a senior escalation resource for complex data-platform and engineering issues.
• Participate in the architecture, development, and review of data pipelines and integration processes.
• Guide ETL/ELT architecture and engineering practices.
• Lead modernization of legacy and existing data environments.
• Improve platform scalability, resiliency, performance, and operating efficiency.
• Partner with technology, analytics, risk, compliance, and business teams to translate requirements into practical data solutions.
• Establish approaches for secure and governed enterprise data access.
• Help ensure data solutions meet regulatory, security, privacy, and internal governance requirements.
• Evaluate new technologies and recommend improvements to the organization's data ecosystem.
• Support cloud migration and data-platform transformation initiatives.
• Advance organizational readiness for AI, machine learning, advanced analytics, and intelligent automation.
• Help establish architecture that supports both traditional data warehousing and modern lakehouse approaches.
• Provide technical direction throughout solution design, implementation, and ongoing platform evolution.

Required Qualifications

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical discipline.
• 10+ years of professional experience in data engineering, data architecture, data platform engineering, or closely related disciplines.
• At least 5 years of experience designing and implementing enterprise-scale cloud data platforms.
• Strong experience with cloud-based data services.
• Advanced SQL skills.
• Strong Python experience.
• Experience with distributed data-processing technologies such as Spark.
• Strong knowledge of ETL/ELT architecture and frameworks.
• Experience designing modern data warehouse, data lake, or lakehouse environments.
• Strong understanding of enterprise data modeling and architecture patterns.
• Experience implementing data governance, data quality, security, and access control standards.
• Experience designing scalable and resilient enterprise data solutions.
• Demonstrated technical leadership experience.
• Experience mentoring or providing architectural direction to Data Engineers.
• Experience working within regulated, security-sensitive, or highly governed environments.

Highly Desirable Experience

Experience with several of the following would be particularly valuable:

• Microsoft Azure data technologies
• Databricks
• Snowflake
• Microsoft Fabric
• Power BI
• Real-time or streaming data architectures
• AI/ML platforms
• Enterprise cloud migrationsLarge-scale data modernization
• AI enablement initiatives
• Relevant cloud, data-engineering, architecture, or data-platform certifications are also beneficial.

Ideal Candidate

We're looking for someone who is more than an enterprise architect who produces diagrams and standards.