Data Architect

Location Burbank, CA

Duration 6 Months+

Interview Type Virtual / In-Person

Note This is a local role requiring the resource to be at the client location, with onsite presence expected 3 days per week.

The Senior Data Architect will lead large-scale data architecture, data modeling, data engineering, and migration initiatives, with strong preference for experience in Pension/Retirement, Financial Services, Insurance, or Healthcare environments.

This role requires deep expertise in enterprise data architecture, legacy-to-modern platform migration, SQL, relational databases, data quality, remediation, reconciliation, and stakeholder management.

• Lead enterprise data architecture and design across conceptual, logical, and physical data models.
• Drive complex legacy-to-modern platform migrations involving multiple source systems, dependencies, sequencing, and cutover strategy.
• Perform source data analysis, profiling, dependency analysis, source-to-target mapping, transformation rules, ETL architecture, data lineage, and migration design.
• Translate business rules into technical transformation logic and scalable data solutions.
• Oversee data quality, remediation, cleansing, reconciliation, and validation of records, balances, relationships, and business attributes.
• Collaborate with Product Owners, Technical Architects, SMEs, Data Analysts, Data Engineers, ETL Developers, and QA teams.
• Provide oversight to offshore teams and support backlog refinement, walkthroughs, and implementation activities.
• Recognize and address source data issues as a critical part of successful migration.

• 15+ years of experience in Data Architecture, Data Modeling, Data Engineering, and large-scale data migration.
• Strong expertise in SQL and relational databases.
• Strong experience with data quality, remediation, cleansing, reconciliation, and validation.
• Ability to convert complex business requirements into technical solutions.
• Excellent architecture and stakeholder management skills.
• Experience managing distributed or offshore delivery teams.

Experience in pension or retirement-related data domains is highly desirable, including participants, beneficiaries, employment, earnings, pension credits, benefits, payments, and related-party relationships.

• Process flows.
• Mentor and provide knowledge transfer to client project team members.
• Participate as a primary, co-, or contributing author on project deliverables.
• Participate in data conversion and data maintenance.
• Provide best practices and industry-specific solutions.
• Advise on alternative and out-of-the-box solutions.
• Provide thought leadership and hands-on technical configuration/development as needed.
• Participate as a functional team member.
• Perform other duties as assigned.

• Do you have all of the preferred skills? Answer must be Yes to qualify.
• Are you okay going into the office at least 3 days a week? Answer must be Yes to qualify.

For applications and inquiries, contact:View email address on us.fitly.work