Solutions Architect (Data Analytics & Digital Platforms)

Position Summary The Solutions Architect will serve as the primary architectural authority for the Data Analytics organization. You will oversee the design and implementation of our data ecosystem-including Data Warehouses, Data Lakes, and real-time pipelines-while ensuring seamless integration with our digital web applications. This role requires a unique blend of “big data” expertise, cloud-native architecture, and full-stack development knowledge to lead our technical strategy into the next generation of GenAI and predictive analytics.

Roles and Responsibilities:

Architectural Leadership & Strategy

• Define the end-to-end architectural vision for the data analytics platform, ensuring scalability, security, and high availability across AWS and Databricks environments.

• Evaluate and select emerging technologies in the GenAI and LLM space to enhance data discovery and automated insights.

Data Ecosystem Oversight

• Design and govern robust data pipelines and storage solutions (Data warehouse, Data Lake, Data Lakehouse) that support both structured RDBMS and high-volume NoSQL requirements.

• Collaborate with Data Scientists to architect environments for model training, deployment, and MLOps, ensuring seamless integration between data engineering and machine learning workflows.

Full-Stack & Digital Integration

• Oversee the architectural integrity of internal and external web applications built on Java Spring Boot and Angular.

• Ensure that frontend applications are optimized for data visualization and provide high-performance user experiences for complex data sets.

Agile Execution & Collaboration

• Operate as a key technical leader within the Agile Scrum framework, participating in sprint planning, backlog grooming, and architectural reviews to ensure technical debt is managed and milestones are met.

• Act as a bridge between Data Architects, Data Engineers, and stakeholders to translate business requirements into technical blueprints.

• Mentor lead engineers and developers, providing code reviews and architectural guidance to ensure best practices across the SDLC.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, 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 HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global’s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

• Education: Bachelor’s degree in Computer Science, Information Technology, or a related engineering field.

• Experience: * Minimum of 10 years of total experience in the software and data engineering industry.

o At least 3 years in a Lead Engineer or Principal Engineer role, with a proven track record of mentoring teams and owning technical roadmaps.

• Technical Breadth: * Deep expertise in AWS cloud services (S3, Glue, Lambda, Redshift) and Databricks.

o Hands-on experience with Java / Spring Boot for building scalable backend services.

o Strong understanding of modern frontend frameworks, specifically Angular (or Vue/React).

• Data Expertise: Proficient in SQL/NoSQL databases, Spark/PySpark, and the design of large-scale data pipelines.

• Methodology: Strong experience working in an Agile/Scrum environment, including a deep understanding of Jira/Confluence and CI/CD automation. * Experience in the Renewable Energy or Utilities sector.

• Familiarity with Generative AI integration, including RAG (Retrieval-Augmented Generation) architectures and vector databases.

• Professional certifications in AWS (Solutions Architect Professional) or Databricks (Lakehouse Associate/Professional).

• Strong communication skills with the ability to present complex architectural concepts to non-technical executive leadership.