AWS Solution Design Lead

Job Description

Insight Global is seeking a hands‑on AWS Solution Designer to support a leading Wealth Management organization in building enterprise‑scale data platforms.

This role will focus on data consolidation, data foundation buildout, and data automation, enabling scalable analytics and advisor/client insights. The ideal candidate will combine technical depth with leadership, driving architecture decisions while partnering closely with engineering and business teams. This role is hybrid 2x per week in office.

• Design end‑to‑end AWS architectures for modern data and analytics platforms
• Lead data consolidation and data foundation initiatives across Wealth systems
• Build and enable Data Ops pipelines (ingestion to transformation to consumption)
• Contribute to architecture review processes, ensuring alignment with enterprise standards and policies
• Support automation and CI/CD pipelines for data and infrastructure workflows
• Partner with engineering and stakeholders to deliver scalable, production‑ready solutions
• Perform impact analysis and challenge design decisions to improve overall solution quality

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.

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• 7+ years in solution architecture / data engineering
• Strong hands‑on experience with AWS (S3, Glue, Redshift, Lambda, etc.)
• Expertise in Data Ops / ETL pipelines
• Expertise in cloud architecture & distributed systems
• Expertise in CI/CD & automation practices
• Experience building data platforms / data foundation layers
• Strong communication skills with ability to influence, challenge, and drive clarity
• Experience working within enterprise architecture governance / review processes
• Background in large enterprise environments (financial services preferred) and experience with AWS CDK (not required, but preferred)
• Wealth Management / Capital Markets exposure
• MLOps / Sage Maker / advanced analytics experience
• Experience with orchestration tools (Airflow, Glue workflows)
• Knowledge of IAM, cloud security, and regulated environments