Data Modeler

Job Description

We are:

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At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 17,000+, and has 58 offices in 22 countries within key global markets.

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Our challenge:

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The Data Modeler will be responsible for developing conceptual, logical, and physical data models for Home Lending and FR Y-14M reporting domains. The individual will collaborate closely with business stakeholders, regulatory reporting teams, data architects, data engineers, business analysts, governance teams, and cloud engineering teams to establish standardized and scalable data structures within the GCP ecosystem.

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Additional Information*

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The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Charlotte, NC is $100k - $110k/year & benefits (see below).

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The Role

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Responsibilities:

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Data Modeling & Architecture

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• Design and maintain conceptual, logical, and physical data models for enterprise applications and analytical platforms.
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• Develop scalable data warehouse solutions using Dimensional Modeling , Star Schema , Snowflake Schema , and Data Vault methodologies .
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• Define entities, relationships, attributes, business rules, and data standards.
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• Apply normalization and denormalization techniques to optimize both transactional and analytical systems.
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• Collaborate with solution architects and business teams to translate business requirements into data structures.
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Cloud Data Platform

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• Design and implement data models on Google Cloud Platform (GCP) .
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• Support data integration and analytics solutions leveraging:
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• BigQuery
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• Cloud Storage
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• Dataflow
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• Dataproc
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• Pub/Sub
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• Cloud Composer
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• Optimize cloud data architectures for scalability, performance, and cost efficiency.
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Data Warehousing

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• Design enterprise data warehouses and data marts.
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• Build and maintain data models supporting reporting, dashboards, and advanced analytics.
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• Establish best practices for data partitioning, clustering, and query optimization within BigQuery.
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• Support migration of legacy data warehouse platforms to cloud-based ecosystems.
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Data Governance & Quality

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• Implement and maintain Metadata Management standards.
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• Establish end-to-end Data Lineage documentation.
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• Ensure compliance with enterprise Data Governance frameworks.
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• Partner with data stewardship teams to improve Data Quality and consistency.
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• Support Master Data Management (MDM) initiatives and reference data strategies.
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Stakeholder Management

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• Work closely with Business Analysts, Data Engineers, Architects, and Product Owners.
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• Conduct data model reviews and provide recommendations for improvements.
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• Communicate modeling standards, data definitions, and governance policies across teams.
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Required Skills:

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Data Modeling

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• Conceptual Data Modeling
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• Logical Data Modeling
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• Physical Data Modeling
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• Dimensional Modeling
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• Data Vault Modeling
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• Star Schema Design
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• Snowflake Schema Design
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• Normalization & Denormalization Techniques
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Cloud & Data Platforms

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• Google Cloud Platform (GCP)
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• BigQuery
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• Cloud Storage
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• Dataproc
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• Dataflow
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• Pub/Sub
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• Cloud Composer
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Databases & Data Warehousing

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• Oracle
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• SQL Server
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• Teradata
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• BigQuery
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• Hive
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Data Management

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• Metadata Management
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• Data Lineage
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• Data Governance
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• Data Quality
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• Master Data Management (MDM)
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SQL & Analytics

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• Advanced SQL Development
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• Query Tuning and Optimization
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• ETL/ELT Concepts
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• Data Integration Practices
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Preferred, but not required:

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Experience with enterprise data governance tools.

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Knowledge of banking, financial services, insurance, or large-scale enterprise environments.

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Experience with Agile/Scrum methodologies.

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Familiarity with data catalog and lineage tools.

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Exposure to Google Cloud data migration projects.

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We offer:

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A highly competitive compensation and benefits package.

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A multinational organization with 58 offices in 22 countries and the possibility to work abroad.

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10 days of paid annual leave (plus sick leave and national holidays).

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Maternity & paternity leave plans.

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A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region).

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Retirement savings plans.

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A higher education certification policy.

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Commuter benefits (varies by region).

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Extensive training opportunities, focused on skills, substantive knowledge, and personal development.

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On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses.

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Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups.

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Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms.

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A flat and approachable organization.

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A truly diverse, fun-loving, and global work culture.

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SYNECHRON’S DIVERSITY & INCLUSION STATEMENT

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Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

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All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.