Technical Architect

We are looking for a skilled Technical Architect with deep expertise in Data Governance, ETL frameworks, and tools such as Collibra and Informatica.

The ideal candidate will lead the design and implementation of enterprise-wide data strategies, ensuring alignment with business goals and regulatory requirements.

This role involves close collaboration with business and IT teams to deliver scalable, high-quality data solutions.

Key Responsibilities

• Design ETL frameworks by gathering business requirements and creating high-level and low-level design documents.
• Lead the development and implementation of enterprise-wide data governance strategies, policies, and frameworks.
• Align data governance initiatives with business objectives and compliance standards.
• Propose and implement appropriate tools and technologies to meet business needs and budget constraints.
• Design architectural diagrams and data flows, incorporating best practices such as redundancy, data integration, and environment setup (Dev, Test, Prod).
• Evaluate and manage data governance tools like Collibra and Informatica.
• Develop complex data quality rules using regular expressions and monitor data quality KPIs.
• Create dashboards and reports to communicate data quality metrics to stakeholders.
• Identify and resolve data quality issues across systems and domains.
• Collaborate with cross-functional teams to implement remediation strategies.
• Automate log file management and system monitoring processes.
• Write optimized queries using partitioning and bucketing for data quality checks.
• Translate functional requirements into detailed technical designs and finalize SLAs and UAT use cases.
• Participate in user calls to address data quality issues and provide solutions.
• Generate data reports for users and support data-related queries from other applications or consumers.

• Proven experience in designing and implementing ETL frameworks and data governance strategies.
• Hands-on experience with Collibra, Informatica, and other data governance tools.
• Strong understanding of data quality management, including rule creation and KPI monitoring.
• Proficiency in writing complex SQL queries and optimizing data processes.
• Experience in creating architectural diagrams and managing multi-environment setups.
• Excellent communication and stakeholder management skills.

• Experience in handling large-scale enterprise data systems.
• Familiarity with cloud-based data platforms and modern data architectures.