Senior Data Solutions Architect

Job Summary:

We are seeking a highly skilled and strategic Data Solution Architect to join our IT Enterprise Data Warehouse team. This role is responsible for designing and implementing scalable, secure, and high-performing data solutions that bridge business needs with technical execution.  Design solutions for provisioning data to our cloud data platform using ingestion, transformation, and semantic layer techniques. Additionally, this position provides technical thought leadership and guidance to ensure that data platforms and pipelines effectively support ODS, analytics, reporting, and AI initiatives across the organization.

Key Responsibilities:

• Architecture & Design
  • Design end-to-end data architecture solutions including operational data stores, data warehouses, and real-time data pipelines.
  • Define standards and best practices for data modeling, integration, and governance.
  • Evaluate and recommend tools, platforms, and frameworks for data management and analytics.
• Collaboration & Leadership
  • Partner with business stakeholders, data engineers, data analysts, and other IT teams to translate business requirements into technical solutions.
  • Lead architecture reviews and provide technical guidance to development teams.
  • Advocate for data quality, security, and compliance across all data initiatives.
• Implementation & Optimization
  • Oversee the implementation of data solutions, ensuring scalability, performance, and reliability.
  • Optimize data workflows and storage strategies for cost and performance efficiency.
  • Monitor and troubleshoot data systems, ensuring high availability and integrity.

Required Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or related field.
• 7+ years of experience in data architecture, data engineering, or related roles.
• Strong expertise in cloud platforms (e.g., Azure, AWS, GCP) and modern data stack tools (e.g., Snowflake, Databricks).
• Proficiency in SQL, Python, and data modeling techniques (e.g. Data Vault 2.0)
• Experience with ETL/ELT tools, APIs, and real-time streaming technologies (e.g.,  dbt, Coalesce, SSIS, Datastage, Kafka, Spark).
• Familiarity with data governance, security, and compliance frameworks 

Preferred Qualifications:

• Certifications in cloud architecture or data engineering (e.g., SnowPro Advanced: Architect).
• Strong communication and stakeholder management skills.

Why Join Us?

• Work on cutting-edge data platforms and technologies.
• Collaborate with cross-functional teams to drive data-driven decision-making.
• Be part of a culture that values innovation, continuous learning, and impact.

** This is a full-time, W2 position with Hub Group – We are NOT able to provide sponsorship at this time ** 

Salary: $135,000 - $175,000/year base salary + bonus eligibility

This is an estimated range based on the circumstances at the time of posting, however, may change based on a combination of factors, including but not limited to skills, experience, education, market factors, geographical location, budget, and demand

Benefits

We offer a comprehensive benefits plan including:

• Medical
• Dental 
• Vision
• Flexible Spending