Data Engineering Developer building scalable Azure data pipelines for an agile tech development firm. Advising clients, implementing governance, and improving cloud data engineering standards.
About the role
- Senior Data Architect guiding data architecture during regulatory platform development. Collaborating across teams for scalable, secure data solutions aligned with enterprise standards.
Responsibilities
- Lead data architecture and data modelling efforts for regulatory platform solutions, collaborating with Product Owners, Solution Architects, and delivery teams to design scalable, secure, and high-performing systems aligned with enterprise standards and business objectives.
- Translate business and system requirements into conceptual, logical, and physical data models supporting transactional, integration, and analytical workloads.
- Collaborate with the Enterprise Data Modeller to align platform data models with enterprise business information models and oversee physical data model implementation.
- Define and implement data architecture patterns supporting Entity Framework and database-as-code approaches, ensuring alignment between application domain models, APIs, and physical database design.
- Partner with the Data Engineering Practice Lead and Data Engineering teams to enable seamless integration of regulatory platform data into the Databricks-based medallion architecture (Bronze and Silver layers), supporting governed and reusable data products for analytics, reporting, AI, and data sharing.
- Design secure and performant data access mechanisms, including APIs, views, materialized views, and data-sharing patterns for internal and external consumers.
- Provide architectural leadership and guidance to Data Architects, Solution Architects, and Data Engineers to ensure consistency, interoperability, reusability, and adherence to enterprise standards.
- Support modernization initiatives including legacy system transformation, cloud migration, master/reference data alignment, and integration of operational and analytical platforms.
- Establish and promote best practices for data architecture, modelling, governance, security, resiliency, metadata, and performance optimization.
- Ensure solutions support regulatory traceability, auditability, lineage, governance, and compliance requirements.
- Maintain architecture artifacts and documentation including data models, integration mappings, lineage, data flows, and architectural decision records.
- Participate in solution and platform architecture reviews, contributing to technology selection, implementation strategy, and long-term evolution of enterprise data capabilities.
Requirements
- Bachelor’s degree in Computer Science, Information Systems, or a related field.
- 7+ years of progressive experience in enterprise data architecture and engineering, data modelling, and solution design for large-scale custom application platforms.
- Proven expertise designing conceptual, logical, and physical data models for operational, integration, and analytical systems.
- Strong experience implementing Entity Framework and database-as-code approaches, including alignment between domain models, APIs, relational schemas, and application development practices.
- Experience supporting modern software delivery practices including source control, pull request reviews, CI/CD pipelines, automated deployments, and Agile delivery models.
- Hands-on experience designing and implementing cloud-based data platforms and medallion architecture patterns (Bronze, Silver, Gold), preferably using Databricks and Delta Lake technologies.
- Experience enabling enterprise analytics, AI, reporting, and data-sharing capabilities through governed and scalable data hub architectures.
- Strong expertise with relational and distributed data platforms, including Microsoft SQL Server, Databricks, and cloud-native data architecture patterns.
- Strong SQL and data modelling capabilities, including experience with enterprise modelling tools such as IDERA ER/Studio or equivalent.
- Experience with data integration, ETL/ELT pipelines, API-based integration, event-driven architectures, and data-sharing patterns.
- Experience establishing enterprise data standards, metadata practices, naming conventions, lineage, and data governance processes.
- Experience designing secure, scalable, resilient, and auditable data solutions within regulated industries such as government, energy, or oil and gas.
- Strong leadership, communication, and stakeholder engagement skills, with the ability to guide cross-functional technical teams and align architecture decisions with business objectives.
- Ability to balance strategic architecture planning with hands-on technical leadership in fast-paced and evolving delivery environments.
Benefits
- Great benefits from your first day of work
- Flexible Work Program - hybrid work and flexible hours
- Hybrid work - employees may work remotely up to five days per calendar month, with a limit of two remote days per week.
- Defined benefit pension plans
- Flexible benefits program options, including Personal & Health spending account(s)
- Generous vacation entitlement and flex days
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