Senior Specialist, Data Base & Data Mart

The Senior Specialist, Data Base & Data Mart enables trusted, scalable, and high-performance data foundations that support analytics, reporting, AI, and business decision-making across Maaden. The role ensures enterprise data assets are structured, governed, and optimized to deliver reliable insights that improve operational and strategic outcomes.

The role strengthens Maaden’s Data & AI ecosystem by translating complex business and analytical requirements into robust database and data mart solutions. Through technical leadership and engineering excellence, it improves data accessibility, quality, performance, and governance while ensuring enterprise standards are consistently applied.

By providing expertise in data architecture, database optimization, and lifecycle management, the role enables data-driven transformation initiatives and ensures that enterprise data platforms remain secure, resilient, and aligned with long-term business objectives.

Deliver scalable and high-performing database and data mart solutions that support 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.

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.

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.

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.

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.

Enterprise databases and data marts consistently deliver reliable, accurate, and timely data for analytics and business reporting.

Data performance, availability, and scalability improve through proactive optimization and engineering best practices.

Data governance requirements including lineage, metadata, ownership, and quality controls are embedded across solutions.

Production incidents and performance issues are resolved effectively with reduced recurrence.

Stakeholders have confidence in the quality, accessibility, and reliability of enterprise data assets.

Modern data engineering practices improve delivery efficiency, maintainability, and long-term platform sustainability.

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

Stakeholder Management

Cross-Functional Collaboration

Technical Leadership

Problem Solving & Root Cause Analysis

Communication & Knowledge Sharing

Mentoring & Coaching