Data Engineer

• Serve as the technical lead for the project—owning solution design decisions, guiding implementation standards, and mentoring other engineers through coaching, reviews, and knowledge sharing.
• Design, develop, and maintain complex ETL pipelines using Databricks, ensuring scalable, high-performance data integration across multiple source systems.
• Implement and optimize medallion architecture within Databricks, establishing clear data zones (raw, curated, trusted) to support governed, enterprise-wide reporting.
• Develop and refine dimensional data models that enable unified, analytics-ready views of business domains and support automated dashboarding and KPI frameworks.
• Collaborate closely with cross-functional teams (data stewards, IT, business stakeholders) to translate operational requirements into technical solutions, proactively clarifying dependencies and driving alignment.
• Contribute to architectural decisions, leveraging your expertise to recommend best practices, challenge assumptions, and ensure data platform durability and flexibility.
• Identify and address integration challenges, data quality issues, and process bottlenecks early, providing actionable insights and thoughtfully pushing back when project risks or inefficiencies arise.
• Support knowledge transfer and documentation, empowering colleagues and clients to maintain and evolve data solutions independently.

Lead Data Engineer – Databricks

Risk

• Serve as the primary architect and leader for data governance initiatives, establishing standards, policies, and frameworks across a large-scale data integration project unifying up to 24 disparate sources in a single data cloud environment.
• Design, implement, and operationalize comprehensive data governance programs, including data quality, stewardship, lineage, access control, and documentation that empower clients to maintain and evolve their data assets independently.
• Collaborate closely with technical project leads, business stakeholders, and customer teams to translate operational requirements into actionable governance solutions, proactively clarifying dependencies and driving alignment.
• Set and enforce governance standards for the entire project team, including both internal and customer participants, ensuring consistency, transparency, and compliance throughout the program lifecycle.
• Lead the creation and maintenance of governance artifacts, such as data dictionaries, stewardship models, KPI glossaries, and RACI matrices, facilitating handover and long-term sustainability for the client.
• Actively participate in project reviews, provide constructive feedback, and push back thoughtfully when risks or inefficiencies are identified, helping the team to pivot and achieve optimal outcomes.
• Mentor and guide team members on governance best practices, fostering a collaborative and learning-oriented culture that reflects OZ Digital’s values: Evolve Constantly, Focus on Outcomes, Succeed Together, Stay Positive, and Lead with Empathy.
• Support knowledge transfer, documentation, and training to ensure smooth adoption of governance processes by all stakeholders.

Senior Data Governance Consultant – Azure/Databricks

Software Engineer

• Design, develop, and maintain enterprise-grade integration solutions using Azure-native services
• Build and support orchestration middleware using Azure Logic Apps and Azure Functions
• Develop, publish, and manage APIs using Azure API Management (APIM) with OAuth2/OpenID Connect security
• Implement event-driven and asynchronous messaging architectures using Azure Service Bus (Queues & Topics)
• Integrate third-party platforms and communication providers such as Twilio (BSP) for WhatsApp messaging workflows
• Handle webhooks, message payloads, and media processing (text, audio, documents) from external systems
• Implement immutable storage and audit logging using Azure Blob Storage (WORM) and Azure SQL Ledger
• Integrate Azure AI Speech Services (Speech-to-Text) into backend processing and workflow automation where required
• Collaborate with architects, conversational AI teams, and backend system owners to ensure end-to-end integration
• Support unit testing, integration testing, and UAT, including troubleshooting and defect resolution
• Ensure all integrations follow security, compliance, scalability, and resiliency best practices
• Participate actively in Agile/Scrum ceremonies and sprint-based delivery cycles

Lead Data Engineer – Databricks

Senior Data Governance Consultant – Azure/Databricks

Azure Integration Developer