Data Solutions Architect (full-onsite)
About the Role
Insight Global is hiring an Experienced Data Solutions Architect top financial services client within Equities Technology. This role focuses on building enterprise data architecture and business ready domain models supporting investment banking, equities, and wealth management. You’ll partner with business teams to define data domains and work with engineers to model trusted data in a Databricks lakehouse, supporting platforms like DealCloud, Power Apps, and Salesforce. Ideal candidates bring strong business acumen with hands on experience in data modeling, SQL, Python, and modern analytics tools.
If you think you are the right match for the following opportunity, apply after reading the complete description.
Day-to-day:
- Partner with bankers, business leaders, and senior stakeholders to capture workflows, entities, and requirements
- Design and maintain logical and semantic data models aligned to enterprise architecture
- Define attributes, hierarchies, and business rules for core domains (funds, sponsors, deals, coverage, etc.)
- Explore, validate, and transform datasets using SQL, Python, and Databricks
- Shape raw data into business-ready domain tables
- Prototype pipelines and transformations before handing off to engineering for production
- Collaborate with internal and external CRM teams to support data decisions in DealCloud and Salesforce
- Present data models and findings to stakeholders and iterate based on feedback
- Act as a trusted bridge between business stakeholders and technical teams
Requirements:
- 4-7 years of experience in data modeling, data architecture, or data solution design
- Strong hands-on experience with: SQL, Python, Databricks xywuqvp or similar modern data platforms
- Deep understanding of logical & semantic data modeling, Data semantics, ontologies, and master data management (MDM)
- Experience working in financial services or consulting
- Ability to translate business requirements into data models
- Strong communication skills with both technical and non-technical stakeholders
Compensation:
$75- $90 per hour
Exact compensation may vary based on several factors, including skills, experience, and education.
Responsibilities
- Partner with stakeholders to capture workflows and requirements
- Prototype data pipelines and transformations for domain tables
- Collaborate with CRM teams to support data decisions
Qualifications
- 4-7 years in data modeling/architecture
- Strong SQL, Python, Databricks experience
- Experience in financial services or consulting
Required Skills
Keywords
Interested in this role?
Apply now and take the next step in your career.