Senior Specialist, Data Base & Data Mart

Why This Role Matters

Database & Data Mart Architecture

• Deliver scalable and high-performing database and data mart solutions supporting enterprise analytics, reporting, and AI initiatives.
• Translate business and analytical requirements into logical and physical data models aligned with enterprise architecture standards.
• Establish reusable design patterns that improve consistency, maintainability, and long-term scalability.
• Enable reliable delivery of enterprise data through robust ETL/ELT processes, transformation logic, and data integration practices.
• Ensure solutions are deployed, tested, and transitioned into production effectively and sustainably.
• Improve delivery quality through technical reviews, architecture compliance, and engineering best practices.

Performance & Operational Reliability

• Optimize database and data mart performance through tuning, workload analysis, indexing, and capacity management.
• Strengthen operational resilience through effective monitoring, issue resolution, recovery planning, and preventive improvements.
• Improve platform availability and reliability while supporting growth in business and analytical demand.

Data Governance & Security

• Embed data quality, lineage, metadata, ownership, retention, and governance requirements within enterprise data solutions.
• Ensure data assets remain secure, auditable, and compliant with corporate policies and regulatory requirements.
• Reduce data risk through proactive assessment and remediation of control gaps and quality issues.

Stakeholder Engagement & Delivery Excellence

• Partner with engineering, analytics, governance, architecture, cybersecurity, and business teams to deliver prioritized data capabilities.
• Provide technical guidance that improves delivery decisions, solution quality, and stakeholder confidence.
• Communicate technical recommendations, trade-offs, and constraints in a clear and business-focused manner.

Continuous Improvement & Capability Building

• Drive adoption of modern database, cloud, automation, and observability practices that enhance value and efficiency.
• Strengthen engineering capability through standards, reusable assets, mentoring, and knowledge sharing.
• Improve delivery consistency and operational maturity through continuous enhancement initiatives.

Minimum Qualifications

• Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related discipline.
• Master's degree in Data Engineering, Data Architecture, Analytics, or a related field is advantageous.

Experience

• 7-10 years of progressive experience in database development, data engineering, data warehousing, business intelligence, or related disciplines.
• Experience designing enterprise-scale data marts, dimensional models, and database solutions.
• Experience optimizing high-volume databases and resolving complex production and performance issues.
• Experience leading technical delivery across cross-functional stakeholders and technology teams.

Skills That Matter

• Database Architecture & Administration
• Dimensional Data Modeling
• Data Mart & Data Warehouse Design
• ETL/ELT Development
• SQL Performance Optimization
• Data Quality & Governance
• Cloud Data Platforms
• Data Integration & Orchestration
• Performance & Capacity Management
• Security, Privacy & Audit Controls
• Release & Environment Management
• Technical Assurance & Solution Delivery