Senior Associate Data Solutions Engineering

About Mubadala

Data Solution Architecture

• Design end-to-end solutions across source systems, integration services, enterprise data platforms, Snowflake, semantic layers, APIs, and business intelligence products.
• Translate business outcomes into data flows, mappings, transformation rules, interface contracts, and non-functional requirements.
• Define scalable batch, API, event-driven, and hybrid integration patterns.

Data Engineering and Platform Delivery

• Lead and contribute to ETL/ELT pipeline and reusable data service delivery across cloud and hybrid environments.
• Coordinate ingestion, transformation, orchestration, reconciliation, error handling, and monitoring using Informatica IICS, Azure services, Snowflake, and Neo4J.
• Improve pipeline performance, reliability, latency, throughput, and operating cost.
• Implement automated deployment, version control, environment promotion, rollback planning, and operational runbooks.

Analytics and Business Enablement

• Own data readiness for dashboards, executive reporting, operational analytics, and AI use cases.
• Partner with business teams to define KPIs, dashboard requirements, access rules, refresh frequency, and acceptance criteria.
• Guide Power BI semantic models, dataflows, row-level security, workspace promotion, validation, and production support.

Governance and Security

• Embed data-quality checks, reconciliation controls, exception reporting, lineage, ownership, definitions, and transformation documentation.
• Implement role-based security, encryption, privacy controls, auditability, classification, retention, and least-privilege practices.
• Work with governance teams to resolve source-data issues and align data products with enterprise requirements.

Delivery and Operational Leadership

• Lead multidisciplinary delivery without relying on formal line authority and maintain priorities, dependencies, and accountability.
• Coordinate with product owners, investment teams, Human Capital, audit, finance, AI teams, vendors, and managed-service partners.
• Run solution workshops, design reviews, backlog reviews, UAT readiness sessions, issue-resolution calls, and go-live checkpoints.
• Lead incident triage, root-cause analysis, service transition, support models, SLAs, and escalation paths.

Team Enablement and Innovation

• Mentor engineers, analysts, and consultants on design, modelling, documentation, testing, troubleshooting, and secure delivery.
• Establish reusable templates, coding standards, design patterns, checklists, repositories, training sessions, and knowledge documentation.
• Evaluate AI-assisted engineering, serverless ETL, cloud-native orchestration, containerised deployment, and observability technologies.

Experience

• Minimum 10 years of relevant enterprise data, analytics, integration, or solution architecture experience with significant hands-on delivery responsibility.
• Experience delivering data solutions from requirements through design, build, testing, deployment, and support.
• Experience with Snowflake, SQL, data warehouse or lakehouse architecture, ETL/ELT, cloud data services, and scripting such as Python or Scala.
• Experience with Informatica IICS or comparable integration tooling, Git, CI/CD, and DevOps or DataOps practices.
• Experience with Apache Kafka, hybrid data integration, secure Power BI solutions, semantic models, and row-level security.
• Experience handling confidential or regulated data and coordinating vendors, consultants, and cross-functional delivery teams.

Education and Certifications

• Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related quantitative or technical discipline.
• Postgraduate study or cloud data engineering certification is advantageous.
• Preferred certifications include Azure Data Engineer Associate, Snowflake, Informatica, Power BI, data architecture, data governance, security, TOGAF, ITIL, DevOps, or DataOps certifications.

Work Arrangement

• Hybrid working is offered, with remote working available up to five days per month.