We are. 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 16,400+, and has 60 offices in 20 countries within key global markets. Job Summary We are seeking an experienced Senior Data Modeler with strong expertise in enterprise data modeling and insurance domain data. The successful candidate will design, develop, and maintain logical and physical data models that support analytics, reporting, actuarial, underwriting, broker, and enterprise data initiatives. The role requires close collaboration with business analysts, data analysts, data engineers, architects, actuaries, underwriters, and reporting teams. The ideal candidate will be skilled at translating business requirements into scalable data structures, defining source-to-target mappings, and ensuring that data models align with enterprise standards, governance frameworks, and reporting needs. Experience with insurance, underwriting, or broker data, along with familiarity with Databricks and Azure data platforms, is highly desirable.

Challenge Statement We are looking for a Senior Data Modeler to design and optimize enterprise-scale data models that support analytics, reporting, underwriting, actuarial, and broker data initiatives within the insurance domain. The role requires translating complex business requirements into scalable logical and physical data structures while ensuring data quality, governance, and consistency across platforms. You will collaborate with cross-functional teams to establish standardized data models, mappings, and metadata frameworks that enable trusted, business-ready data. Experience with insurance data, Azure data platforms, and Databricks will be key to driving successful enterprise data solutions.

Additional Information*

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 Mississauga, ON is $145k - $150k/year & benefits (see below).

Location: Mississauga, ON Experience: 12+ Years Domain: Insurance / Reinsurence / Underwriting / Broker Reporting

Key Skills and Experience Data Modelling Skills Proven experience as a Senior Data Modeler, Enterprise Data Modeler, Data Architect, or similar role. Strong knowledge of: Conceptual, logical, and physical data modelling Enterprise data modelling Dimensional modelling Star and snowflake schemas Fact and dimension design Data grain and aggregation Primary and foreign keys Relationships, hierarchies, and slowly changing dimensions Normalization and denormalization Reference and master data modelling Experience designing models for data warehouses, data marts, data lakes, lakehouses, and reporting platforms. Strong understanding of analytical and operational data structures. Ability to design scalable models that support reporting, analytics, actuarial analysis, and downstream data products. Experience defining reusable enterprise entities and canonical data structures.

Technical Skills Strong SQL skills, including data investigation, profiling, validation, joins, aggregations, and relationship analysis. Experience creating detailed source-to-target mappings and transformation specifications. Familiarity with ETL/ELT processes, data integration patterns, and pipeline dependencies. Experience with relational databases, data warehouses, and cloud data platforms. Familiarity with Databricks, Delta Lake, Azure Data Lake, Azure Synapse, Azure SQL, or related Azure data services. Understanding of performance considerations for large-scale data models, including partitioning, indexing, clustering, distribution, and query optimization. Experience working with structured and semi-structured data. Understanding of data lineage, metadata repositories, data catalogs, and data dictionaries.

Domain Experience preferred Experience working in the insurance industry, particularly in areas such as: Underwriting Broking Policy administration Premium and commission processing Claims Risk and exposure Actuarial reporting Portfolio and performance analysis Strong understanding of insurance data entities and relationships, including policies, risks, insured parties, brokers, submissions, quotes, bound business, premiums, claims, exposures, and financial transactions. Ability to model complex insurance and underwriting business processes. Familiarity with insurance data definitions, reporting requirements, business rules, and key performance measures. Experience supporting actuarial, underwriting, broker, finance, or regulatory reporting is advantageous.

Metadata and Data Governance Experience with metadata management and data governance frameworks. Knowledge of: Business and technical metadata Data lineage Data dictionaries Data ownership and stewardship Data quality rules Critical data elements Data classification Data standards and naming conventions Ability to align data models with enterprise governance, security, privacy, and compliance requirements. Experience supporting consistent definitions and governed reporting across business functions.

Qualifications Bachelor's degree in Computer Science, Information Systems, Data Management, Engineering, Mathematics, or a related field. 12+ years of experience in Data Modeling, Data Architecture, or Enterprise Data Management. Strong expertise in conceptual, logical, physical, dimensional, and enterprise data modeling. Proven experience designing data models for data warehouses, data marts, data lakes, and lakehouse environments. Advanced SQL skills for data profiling, validation, and relationship analysis. Experience creating source-to-target mappings and supporting ETL/ELT processes. Strong understanding of metadata management, data governance, data lineage, and data quality frameworks. Experience working with large-scale enterprise data environments and cloud data platforms. Insurance industry experience, particularly in underwriting, broking, policy administration, claims, actuarial, or financial reporting domains.

Preferred / Good-to-Have Skills Experience with Databricks, Delta Lake, Azure Data Lake, Azure Synapse Analytics, and Azure SQL. Familiarity with insurance and broker data models, including policies, premiums, exposures, claims, commissions, and risk data. Knowledge of Master Data Management (MDM) and Reference Data Management frameworks. Experience supporting actuarial, underwriting, regulatory, finance, or management reporting initiatives. Exposure to data cataloging and governance tools such as Microsoft Purview, Collibra, Alation, or Informatica. Understanding of performance optimization techniques including partitioning, indexing, clustering, and query tuning. Experience modeling data for analytics, BI, reporting, and AI/ML use cases. Professional certifications in Azure Data Engineering, Data Architecture, Databricks, or related cloud technologies.

We Offer: A highly competitive compensation and benefits package A multinational organization with 58 offices in 21 countries and the possibility to work abroad Laptop and a mobile phone 10 days of paid annual leave (plus sick leave and national holidays) Maternity & Paternity leave plans Flexible hybrid policy A comprehensive insurance plan including: medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region) Retirement savings plans A higher education certification policy Commuter benefits (varies by region) Extensive training opportunities, focused on skills, substantive knowledge, and personal development. On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms A flat and approachable organization A truly diverse, fun-loving and global work culture

SYNECHRON’S DIVERSITY & INCLUSION STATEMENT 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. 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.