About Godrej Consumer Products
Godrej Consumer Products is a part of the over 125-year-young Godrej Group. We are fortunate to have a proud legacy built on the strong values of trust, integrity, and respect for others. As an emerging market company, we have witnessed rapid growth and are pursuing our exciting and innovative aspirations.
Watch this video on our purpose of bringing the goodness of health and beauty to consumers in emerging markets.
[: https://www.youtube.com/watchv=1fCJiil4GUM&feature=emb_logo]
Today, our Group enjoys the patronage of 1.15 billion consumers globally, across different businesses. In line with our 3 by 3 approach to international expansion, we are building our presence in three emerging markets, namely Asia, Africa, and Latin America, across three categories (home care, personal care, and hair care).
We rank among the largest household insecticide and hair care players in the emerging markets. In household insecticides, we are the leader in India and Indonesia and are expanding our footprint in Africa. We are the leader in serving the hair care needs of women of African descent and are the number one player in hair colour products in India and sub-Saharan Africa, and among the leading players in Latin America. We rank second in soap products in India, first in air freshener products in India and Indonesia, and lead in wet tissue products in Indonesia.
Read Nisaba Godrej's letter to shareholders in our 2019 Annual and Integrated Report
For us, it is very important that besides our strong financial performance and innovative, much-loved products, we remain a good company. Approximately 23 per cent of the promoter holding in the Godrej Group is held in trusts that invest in the environment, health, and education. We are also bringing together our passion and purpose to make a difference through our Good & Green approach to build a more inclusive and greener India.
At the heart of it all is our talented team. We take much pride in fostering an inspiring workplace with an agile and high-performing culture. We are also deeply committed to recognising and valuing diversity across our teams.
Our People Philosophy
Core to our employer brand, is the philosophy of tough love. We expect a lot from our team members, differentiate on the basis of performance and potential through career opportunities and rewards and lay particular emphasis on developing, mentoring and training. We believe that passionate, rounded individuals with diverse interests make for better Godrejites. And we understand that our team members play multi-faceted roles. This is why we encourage them, not just to explore their whole selves, but also create an enabling space for them to do so.
Watch Why Godrej by Nadir Godrej, a video on our people philosophy.
https://www.youtube.com/watchv=RxiHCMR64Hs&feature=emb_logo
Read more about our people philosophy here.
https://godrejcareers.com/people-philosophy.aspx
Role Summary
We are hiring a Product Data Architect to own the data architecture and data foundations for a portfolio of strategic AI/ML products. This role focuses on designing and building product-grade data pipelines, curated data layers, and fit-for-purpose data stores that power analytics and AI/ML use cases. You will define data models, data contracts, quality and governance controls, and access patterns to ensure product teams can reliably consume high-quality data at scale.
Key Responsibilities
- Design the end-to-end data architecture for assigned products: ingestion transformation curated layers serving/consumption.
- Build and oversee data pipelines (batch/stream where needed), including orchestration, error handling, recovery, and performance optimization.
- Define product-level data models (conceptual/logical/physical), including dimensional models, canonical entities, and domain schemas.
- Establish data contracts with upstream/downstream systems and product services (schemas, SLAs, validation rules, versioning).
- Implement and enforce data quality and observability: checks, anomaly detection, freshness/completeness, reconciliation, and alerting.
- Define master/reference data needs and harmonization approaches for product-specific domains.
- Ensure secure and compliant data handling: access control, PII masking/redaction, encryption standards, retention, and auditability.
- Partner with Data Engineering, ML/AI teams, and Product/Tech leads to enable use cases such as forecasting, pricing optimization, RAG/knowledge bases, and experimentation.
- Evaluate and recommend data tooling choices at the product layer (e.g., transformations, orchestration, streaming, serving stores) aligned to scalability and cost.
Must have Skill Sets:
1) Product Data Architecture & Modelling
- Strong experience designing product-oriented data architectures: domain boundaries, source-to-consumption flows, and curated layers.
- Expertise in data modelling (dimensional, normalized, hybrid) and defining canonical datasets for product use cases.
- Ability to design data products: clearly defined datasets with ownership, contracts, documentation, and usage SLAs.
2) Data Pipeline & Lake/Lakehouse Design
- Hands-on architecture of data pipelines (batch and near-real-time): ingestion, transformation, orchestration, and serving.
- Strong understanding of data lake/lakehouse patterns: bronze/silver/gold, CDC-based ingestion, incremental processing, partitioning, and compaction strategies.
- Ability to define scalable approaches for data integration from enterprise systems (ERP/CRM/MarTech/R&D/LIMS/manufacturing systems, files, APIs, event streams).
3) Data Quality, Governance & Observability
- Proven capability to implement data quality frameworks: validation rules, anomaly detection, reconciliation, and completeness/accuracy checks.
- Strong understanding of metadata, lineage, and cataloging and how to make data discoverable and trustworthy.
- Experience defining and enforcing data access controls: classification, role-based access, masking/tokenization, auditability.
4) Performance, Reliability & Cost-Aware Design
- Expertise in designing performant datasets and pipelines: partitioning, clustering, indexing, query optimization, and workload management.
- Ability to define operational standards for pipelines: retries, idempotency, backfills, monitoring, alerting, and incident response.
- Cost/performance tradeoff thinking for storage and compute (especially for large-scale transformation workloads).
5) Integration with AI/Analytics Consumption
- Strong understanding of downstream needs for BI/analytics, ML feature engineering, and AI applications (including GenAI/RAG where relevant).
- Ability to shape datasets for consumption: feature-ready tables, semantic layers, and curated marts for product teams.
6) Cross-Functional Delivery & Stakeholder Management
- Ability to work closely with product teams, data engineers, platform teams, and security/compliance to deliver on product timelines.
- Strong documentation and communication: data lineage, source mapping, data dictionaries, and pipeline runbooks.
Good to have Skill Sets:
- Experience with modern orchestration and transformation tooling (e.g., Airflow/Prefect, dbt or equivalents).
- Familiarity with one or more ecosystems commonly used in enterprise data platforms (e.g., Spark/Databricks, Snowflake/BigQuery, Delta/Iceberg/Hudi).
- Exposure to master data management, reference data management, and consent/PII governance programs.
- Domain exposure in CPG/FMCG, pricing/revenue management, marketing/media analytics, supply chain forecasting, or R&D systems.
Qualifications
- Bachelor's/Master's in Computer Science, Engineering, or related discipline (or equivalent practical experience).
- 612 years of experience in roles such as Data Architect, Analytics Architect, Data Engineering Lead, or Data Platform Architect with demonstrable ownership of data models and pipeline architectures for business-critical products.
Job Location: Mumbai
