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

- Robust 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.

📌 Data Engineer and Analytics Lead (Mumbai)
🏢 Godrej Properties
📍 Mumbai