Data Solutions Architect

Insight Global is seeking a highly skilled and experienced Data Solutions Architect to join our dynamic team. The ideal candidate will have a deep understanding of data architecture, data engineering, and data management, coupled with a strong background in Pre-Sales Solution Architecture. You will be responsible for educating clients on data strategies, articulating how our data experts can help them build robust data solutions, and overseeing data project plans and contracts that drive business value for our clients. This role requires a blend of technical expertise, strategic thinking, and excellent communication skills.

We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form. The EEOC "Know Your Rights" Poster is available here.

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High School Diploma/GED and 7 years experience in a related field.
The right candidate could also have a different combination, such as any level degree/certification beyond a HS diploma/GED in a related discipline and 5 years experience; or 9 years experience in a related field
Professional or Expert-Level certification in one or more major cloud platforms (AWS, Azure, Google Cloud).
Experience working in fast-paced sales environments, particularly in pre-sales solution architecture.
Must have Professional or Expert-Level certification on one or multiple major cloud platforms (AWS, Azure, Google Cloud).
Expertise in data architecture, data modeling, and database design.
Understanding of cloud-based data storage, processing, and integration technologies.
Expertise in database and data warehousing technologies such as SQL, NoSQL, and distributed databases.
Experience with modern data platforms, including data lakes, warehouses, and ETL/ELT pipelines.
Understanding of AWS, Azure, and/or Google Cloud data services (e.g., Amazon RDS, Google BigQuery, Azure Synapse, etc.).
Familiarity with data governance, security, and compliance best practices.
Hands-on experience with cloud migrations and data modernization initiatives.
Understanding of containerization & virtualization technologies (e.g., Kubernetes, Docker, EKS, ECS, etc.).
Experience with Infrastructure as Code (IaC) tools (e.g., Terraform, CloudFormation, Ansible, Puppet).

Data specialty certification (cloud-agnostic or platform-specific).
Proficiency and/or willingness to pursue expertise across multiple clouds (AWS, Azure, Google Cloud).
Experience with data pipelines, data transformation, and data orchestration tools (e.g., Apache Airflow, dbt, Glue, Dataflow, Data Factory, etc.).
Knowledge of AI readiness strategies, ensuring data infrastructures are optimized for AI/ML adoption.
Understanding of data science workflows, feature stores, and MLOps frameworks.

Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.