Role Impact & Career Opportunities

As a Senior Technical Lead, you will play a pivotal role in advancing the company's data transformation journey. Your expertise will influence strategic decisions, shape data management frameworks, and deliver tangible business value. This position offers exceptional growth opportunities, exposure to cutting-edge technologies, and collaboration with global teams and top-tier clients.

Key Responsibilities

• Technical Leadership: Guide and mentor cross-functional teams in the architecture, design, and implementation of data quality and integration solutions, ensuring best practices and adherence to industry standards.
• Data Quality Management: Define and implement data quality frameworks, metrics, and methodologies using Informatica Data Quality, IBM DataStage QualityStage, and other relevant platforms to ensure the integrity, accuracy, and consistency of enterprise data.
• Integration Solutions: Architect, develop, and optimize complex data integration pipelines using Informatica PowerCenter, IBM DataStage, and complementary ETL tools, addressing both batch and real-time data requirements.
• Stakeholder Collaboration: Liaise with business leaders, data stewards, analysts, and IT teams to gather requirements, translate business objectives into technical solutions, and deliver impactful results.
• Project Delivery: Oversee end-to-end delivery of large-scale data integration and quality projects, including planning, resourcing, execution, and risk management.
• Best Practices & Governance: Establish and enforce data governance policies, procedures, and standards; drive a culture of data stewardship and quality across the organization.
• Continuous Improvement: Evaluate existing systems, propose enhancements, and lead initiatives to improve data quality, performance, scalability, and maintainability.
• Innovation & Emerging Technologies: Keep abreast of advancements in data platforms, cloud integration, big data, and AI-driven data quality tools, recommending and implementing new technologies as appropriate.
• Issue Resolution & Support: Provide expert troubleshooting for complex data integration and quality issues, ensuring rapid resolution and minimal business impact.
• Documentation & Training: Develop detailed technical documentation, solution architecture diagrams, and provide training to team members and stakeholders.

Required Skills & Qualifications

• Educational Background: Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related discipline.
• Professional Experience: Minimum 8+ years of hands-on experience in data integration, data quality management, and ETL development, preferably in large-scale enterprise environments.
• Tool Expertise: Proven expertise in Informatica PowerCenter, Informatica Data Quality, IBM DataStage, and DataStage QualityStage. Experience with other ETL and data quality tools is an asset.
• Hands-on Skills: Strong knowledge of data modeling, relational and non-relational databases (SQL, Oracle, DB2, MongoDB, etc.), and scripting languages (Python, Shell, etc.).
• Cloud Experience: Familiarity with cloud data integration services (AWS Glue, Azure Data Factory, Google Dataflow, etc.) and hybrid cloud architectures.
• Programming & Automation: Experience in workflow automation, job orchestration, and scheduling tools (Control-M, Autosys, etc.).
• Data Governance: Deep understanding of data governance principles, data lineage, metadata management, and regulatory compliance (GDPR, CCPA, etc.).
• Analytical Skills: Ability to analyze complex data sets, identify trends, and resolve data anomalies using advanced analytical techniques.
• Communication: Excellent verbal and written communication skills; ability to clearly articulate technical concepts to both technical and non-technical audiences.
• Team Leadership: Demonstrated experience leading technical teams, managing diverse talents, and driving high-performance culture.
• Problem Solving: Advanced troubleshooting abilities and a proactive approach to identifying risks and opportunities.

Desirable Skills & Attributes

• Certifications: Informatica, IBM DataStage, AWS, Azure, or other relevant credentials.
• Agile Methodologies: Experience working in Agile/Scrum teams and familiarity with DevOps practices.
• Business Acumen: Ability to connect technical solutions with business outcomes and ROI.
• Change Management: Skills in driving organizational change and user adoption for new data processes and platforms.
• Innovation Mindset: Passion for new technologies and a drive to continuously improve and innovate.