01Overview
Role & responsibilities
Key Responsibilities
Data Architecture & Platform Leadership
Lead the design and implementation of enterprise data architecture, including data warehouse, data lake, and customer data platform (CDP).
Own cloudbased data platforms like Azure Synapse, including performance, scalability, and reliability.
Define data standards, integration patterns, and best practices across the data ecosystem.
Data Engineering & Integration
Design and build robust, scalable data pipelines using ETL / ELT patterns.
Integrate data from enterprise platforms such as Salesforce, SAP, and other customer data processing systems.
Ensure high data quality, reconciliation, lineage, and operational stability across all pipelines.
Support both batch and near realtime data ingestion where required.
Business Intelligence & Visualization
Lead the development of enterprise BI and visualization solutions using Power BI.
Build scalable semantic models and highimpact dashboards for senior leadership and business teams.
Enable realtime and near realtime dashboards for operational and commercial use cases (experience is a strong plus).
Promote selfservice analytics while maintaining governance and consistency.
Analytics, Forecasting & Business Insights
Enable advanced analytics and forecasting to support demand planning, sales performance, marketing effectiveness, and financial planning.
Partner with stakeholders to translate business questions into analytics use cases and data models.
Drive adoption of datadriven decisionmaking across the organization.
Functional Ownership Sales, Marketing & Finance
Deliver analytics and reporting solutions for Sales & Marketing, including pipeline, performance, customer behavior, and campaign insights.
Support Finance analytics, including revenue, cost, margin, forecasting, and performance management use cases.
Ensure data accuracy, auditability, and alignment with business metrics.
Leadership & Stakeholder Management
Act as the singlepoint owner for data engineering and analytics initiatives.
Lead, mentor, and grow a team of data engineers, BI developers, and analysts.
Collaborate closely with IT, Digital, Sales, Marketing, and Finance leadership.
Prioritize initiatives based on business impact and delivery timelines.
Preferred candidate profile
Experience
1015 years of overall experience in data engineering, analytics, and BI.
Proven experience in a lead or architect role for enterprisescale data platforms.
Demonstrated delivery of analytics solutions for Sales & Marketing and Finance functions.
Technical Skills
Strong handson experience with Azure Synapse.
Extensive experience building data warehouses, data lakes, or CDPs.
Expertise in Power BI, including data modeling, DAX, and dashboard performance optimization.
Strong knowledge of ETL / ELT pipelines, data integration, and transformation frameworks.
Experience integrating data from Salesforce, SAP, and other enterprise systems.
Exposure to realtime or near realtime analytics dashboards is a plus. .
