WAISL Limited - Technical Lead - Data Watehousing

Job Title: Technical Lead - Data Warehouse (8-10 Years Experience)

Job Summary: We are seeking a highly skilled and hands-on Technical Lead Data Warehouse, Reporting & Analytics with 8-10 years of experience in designing, implementing, and leading enterprise data platforms across cloud and on-premises environments.

The ideal candidate will have strong expertise in Data Warehousing, Reporting, Dashboards, Analytics, Data Governance, and Data Management, along with proven leadership in driving end-to-end data initiatives.

Responsibilities:

- Lead the architecture, design, and implementation of enterprise Data Warehouse (DWH) and Analytics platforms.

- Drive end-to-end ownership of data ingestion, transformation, storage, reporting, and advanced analytics.

- Design and manage ETL/ELT pipelines for structured and semi-structured data.

- Lead the development of enterprise-grade reports, dashboards, and self-service BI solutions.

- Define and implement Data Governance, Data Quality, Master Data Management (MDM), and Metadata Management frameworks.

- Strong hands-on experience with Cloud DWH (Azure, AWS, Snowflake, Databricks,) and On-prem DWH

- Expertise in Dimensional modeling, Star/Snowflake schema, and Data Lakes & Lakehouse architecture

- Expertise in ETL / ELT & Data Engineering, tools such as Informatica, Talend, SSIS, Azure Data Factory, AWS Glue

- Expertise and knowledge of Batch and near real-time data pipelines, Data validation, reconciliation & monitoring.

- Hands-on experience with Power BI, Tableau, Looker, Qlik for reports, BI and dashboard

- Experience in Executive dashboards, operational reporting, KPI automation, and Self-service BI enablement

- Strong exposure to Descriptive, diagnostic & predictive analytics, Data profiling, lineage, & metadata management

- Solid understanding of SQL, Python/R (preferred)

- Strong experience in Data Governance frameworks, Data Quality rules and controls, MDM, reference data management, GDPR, data privacy & regulatory compliance, Role-based security & data masking

- Ensure data security, access controls, compliance, and audit readiness.

- Work closely with business stakeholders to translate business KPIs into scalable data solutions.

- Oversee cloud and on-premises DWH platforms, including hybrid architectures.

- Lead data migration and modernization programs from legacy to cloud platforms.

- Manage and mentor a team of data engineers, BI developers, and analysts.

- Drive performance tuning, capacity planning, and cost optimization.

- Establish best practices, SOPs, documentation, and data standards.

- Lead UAT, go-live, post-production support, and continuous optimization.

- Collaborate with CRM, ERP, Marketing Automation, and external data sources for enterprise-wide integration.

- Support advanced analytics, AI/ML use cases, and predictive modeling enablement.

Qualifications:

- Bachelors or masters degree in computer science, Engineering, Data Science, IT, or related field.

- Certification in Cloud Platforms, Data Engineering, or BI tools is a plus.

- Experience in large-scale enterprise DWH modernization programs.

- Exposure to CDP, Marketing Analytics, CRM Analytics, AI/ML enablement & advanced analytics

- Domain experience in stadium & sports, Aviation, is an advantage.

- Proven experience leading data engineering and BI teams.

- Excellent problem-solving, analytical thinking, and decision-making.

- Strong understanding of Agile methodologies, such as Scrum or Kanban, and experience working on Agile projects.

- Knowledge of requirements management and documentation techniques.

- Ability to work collaboratively in cross-functional teams and adapt to changing project priorities.

- Familiarity with software development concepts and terminology