Concentrix
Data Architect – ODS Modernization & AWS Migration
Concentrix, Hoffmeister, New York, us, 13353
Job Title: Data Architect
We’re Concentrix – the intelligent transformation partner that helps brands power a world that works. Our tech‑powered, intelligence‑fueled approach unlocks value through data and advanced technology solutions.
Job Summary We are seeking an experienced Data Architect to design and build the unified data model for our Operational Data Store (ODS) initiative. The role requires both strategic data‑modeling expertise and hands‑on execution: defining a visionary architecture, building data models, writing transformation logic, and validating implementations against source systems. The position is remote (work‑at‑home) and operates on EST timings.
Key Responsibilities
Design and build the unified data model for the ODS, balancing domain‑specific context with enterprise integration requirements.
Define the architectural approach for federating domain data products into a cohesive enterprise data layer without creating monolithic dependencies.
Develop data transformation specifications, mapping rules, and working examples that preserve domain semantics while enabling cross‑domain consistency.
Establish canonical data models that integrate across domain boundaries while respecting source system ownership and business context.
Perform source‑system analysis, data profiling, and gap assessments to understand domain data products and their integration requirements.
Write and validate SQL queries, transformation logic, and data‑quality rules to prove out architectural decisions before handoff.
Define system‑of‑record ownership across domains and maintain accurate data lineage documentation for federated data sources.
Design integration patterns that allow domains to evolve independently while maintaining enterprise data consistency.
Collaborate directly with Data Engineers during implementation, troubleshooting data‑quality issues and refining transformation logic.
Partner with domain stakeholders and enterprise architects to align domain data products with cross‑domain analytics and operational needs.
Establish federated data governance standards that balance domain autonomy with enterprise consistency requirements.
Conduct architecture reviews focusing on data integrity, performance optimisation, and scalability of the ODS.
Ensure compliance with data‑privacy regulations, security standards, and audit requirements in financial services.
Stay current with industry trends in Data Mesh, Data Fabric, and regulatory changes in the FinTech sector.
Required Qualifications
Bachelor’s or master’s degree in computer science, Information Systems, Data Science, or related field.
10+ years of experience in data management with at least 5+ years in data architecture roles.
Strong understanding of Data Mesh principles (domain ownership, data as product, federated governance) and Data Fabric concepts (unified access, integration layer, cross‑domain visibility).
Proven expertise in logical and physical data modelling using tools such as ERwin, PowerDesigner, or similar.
Experience designing canonical data models that integrate multiple domain data sources while preserving business context.
Strong hands‑on SQL skills with ability to write complex queries for data profiling, validation, and transformation.
Experience building Operational Data Stores, data warehouses, or enterprise data hubs with multiple source‑system integrations.
Demonstrated ability to perform data profiling, source‑system analysis, and data‑quality assessments independently.
Hands‑on experience developing data transformation specifications and mapping documentation that engineers can implement.
Working knowledge of ETL/ELT patterns and data‑pipeline architecture.
Familiarity with event‑streaming platforms (Kafka, Kinesis) for real‑time data ingestion scenarios.
Solid understanding of data governance, metadata management, and data lineage practices.
Preferred Qualifications
Demonstrates judgment and flexibility – positively deals with shifting priorities and rapid change of environments.
Experience in financial services, insurance, or large‑scale enterprise data platforms.
Experience implementing Data Mesh architectures or federated data governance models.
Proficiency with Python or similar scripting language for data analysis and validation.
Familiarity with cloud data services (AWS Glue, Azure Data Factory, Snowflake, Databricks).
Knowledge of data catalog and lineage tools (Collibra, Alation, Apache Atlas).
Exposure to domain‑driven design principles applied to data architecture.
Understanding of regulatory requirements (SOX, GDPR, CCPA) as they apply to data management.
Experience mentoring Data Engineers and establishing team technical standards.
At Concentrix, we provide customer‑experience solutions that may involve handling sensitive data. As part of our hiring process, all candidates must undergo a background check in accordance with applicable law.
The base salary for this position is $106,087‑$197,020, plus incentives that align with individual and company performance. Benefits include medical, dental, vision insurance, employee assistance program, 401(k) retirement plan, paid time off, holidays, and paid learning days.
Apply by December 15, 2025.
Location: USA, NC – Work‑at‑Home (remote, EST timings).
Concentrix is an equal‑opportunity and affirmative‑action (EEO‑AA) employer. We promote equal opportunity to all qualified individuals and do not discriminate in any phase of the employment process based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy or related condition, disability, status as a protected veteran, or any other basis protected by law.
If you are a California resident, you must read the Job Applicant Privacy Notice for California Residents.
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We’re Concentrix – the intelligent transformation partner that helps brands power a world that works. Our tech‑powered, intelligence‑fueled approach unlocks value through data and advanced technology solutions.
Job Summary We are seeking an experienced Data Architect to design and build the unified data model for our Operational Data Store (ODS) initiative. The role requires both strategic data‑modeling expertise and hands‑on execution: defining a visionary architecture, building data models, writing transformation logic, and validating implementations against source systems. The position is remote (work‑at‑home) and operates on EST timings.
Key Responsibilities
Design and build the unified data model for the ODS, balancing domain‑specific context with enterprise integration requirements.
Define the architectural approach for federating domain data products into a cohesive enterprise data layer without creating monolithic dependencies.
Develop data transformation specifications, mapping rules, and working examples that preserve domain semantics while enabling cross‑domain consistency.
Establish canonical data models that integrate across domain boundaries while respecting source system ownership and business context.
Perform source‑system analysis, data profiling, and gap assessments to understand domain data products and their integration requirements.
Write and validate SQL queries, transformation logic, and data‑quality rules to prove out architectural decisions before handoff.
Define system‑of‑record ownership across domains and maintain accurate data lineage documentation for federated data sources.
Design integration patterns that allow domains to evolve independently while maintaining enterprise data consistency.
Collaborate directly with Data Engineers during implementation, troubleshooting data‑quality issues and refining transformation logic.
Partner with domain stakeholders and enterprise architects to align domain data products with cross‑domain analytics and operational needs.
Establish federated data governance standards that balance domain autonomy with enterprise consistency requirements.
Conduct architecture reviews focusing on data integrity, performance optimisation, and scalability of the ODS.
Ensure compliance with data‑privacy regulations, security standards, and audit requirements in financial services.
Stay current with industry trends in Data Mesh, Data Fabric, and regulatory changes in the FinTech sector.
Required Qualifications
Bachelor’s or master’s degree in computer science, Information Systems, Data Science, or related field.
10+ years of experience in data management with at least 5+ years in data architecture roles.
Strong understanding of Data Mesh principles (domain ownership, data as product, federated governance) and Data Fabric concepts (unified access, integration layer, cross‑domain visibility).
Proven expertise in logical and physical data modelling using tools such as ERwin, PowerDesigner, or similar.
Experience designing canonical data models that integrate multiple domain data sources while preserving business context.
Strong hands‑on SQL skills with ability to write complex queries for data profiling, validation, and transformation.
Experience building Operational Data Stores, data warehouses, or enterprise data hubs with multiple source‑system integrations.
Demonstrated ability to perform data profiling, source‑system analysis, and data‑quality assessments independently.
Hands‑on experience developing data transformation specifications and mapping documentation that engineers can implement.
Working knowledge of ETL/ELT patterns and data‑pipeline architecture.
Familiarity with event‑streaming platforms (Kafka, Kinesis) for real‑time data ingestion scenarios.
Solid understanding of data governance, metadata management, and data lineage practices.
Preferred Qualifications
Demonstrates judgment and flexibility – positively deals with shifting priorities and rapid change of environments.
Experience in financial services, insurance, or large‑scale enterprise data platforms.
Experience implementing Data Mesh architectures or federated data governance models.
Proficiency with Python or similar scripting language for data analysis and validation.
Familiarity with cloud data services (AWS Glue, Azure Data Factory, Snowflake, Databricks).
Knowledge of data catalog and lineage tools (Collibra, Alation, Apache Atlas).
Exposure to domain‑driven design principles applied to data architecture.
Understanding of regulatory requirements (SOX, GDPR, CCPA) as they apply to data management.
Experience mentoring Data Engineers and establishing team technical standards.
At Concentrix, we provide customer‑experience solutions that may involve handling sensitive data. As part of our hiring process, all candidates must undergo a background check in accordance with applicable law.
The base salary for this position is $106,087‑$197,020, plus incentives that align with individual and company performance. Benefits include medical, dental, vision insurance, employee assistance program, 401(k) retirement plan, paid time off, holidays, and paid learning days.
Apply by December 15, 2025.
Location: USA, NC – Work‑at‑Home (remote, EST timings).
Concentrix is an equal‑opportunity and affirmative‑action (EEO‑AA) employer. We promote equal opportunity to all qualified individuals and do not discriminate in any phase of the employment process based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy or related condition, disability, status as a protected veteran, or any other basis protected by law.
If you are a California resident, you must read the Job Applicant Privacy Notice for California Residents.
#J-18808-Ljbffr