Data Architect

About Godrej Industries Group (GIG)

At the Godrej Industries Group, we are privileged to serve over 1.1 billion consumers globally through our businesses with market leadership positions in the consumer products, real estate, agriculture, financial services and chemicals industries.

https://www.godrejindustries.com/

About Godrej Consumer Products Limited (GCPL)

Godrej Consumer Products is a leading emerging markets company. As 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. At the same time, we are growing fast and have exciting, ambitious aspirations.

Today, our Group enjoys the patronage of 1.2 billion consumers globally, across different businesses. We rank among the largest Household Insecticide and Hair Care players in emerging markets. In Household Insecticides, we are the leader in India, the second largest player in Indonesia and are expanding our footprint in Africa. We are the leader in serving the Hair Care needs of women of African descent, the number one player in Hair Colour in India and Sub-Saharan Africa, and among the leading players in Latin America. We rank number two in Soaps in India and are the number one player in Air Fresheners and Wet Tissues in Indonesia.

Innovation is a key driver of our strategy, and we are constantly looking to delight our consumers with exciting, superior quality products at affordable prices. We were the highest ranked Indian company on Forbes list of The World's 100 Most Innovative Growth Companies 2015, for the second year in a row.

https://www.godrejcp.com/

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.

Education

• Bachelor's/Master's in Computer Science, Engineering, or related discipline (or equivalent practical experience).
• 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.

Work Experience

68 years

Benefits

Be an equal parent

Childcare benefits for the birthing parent, commissioning parent (in case of surrogacy) or adoptive parent, and their partners

• 6 months of paid leave for primary caregivers, flexible work options on return for primary caregivers
• 2 months paid leave for secondary caregivers
• Caregiver travel for primary caregivers to bring a caregiver and children under a year old, on work travel

Coverage for childbirth and fertility treatment

No place for discrimination at Godrej

Gender-neutral anti-harassment policy

Same sex partner benefits at par with married spouses

Coverage for gender reassignment surgery and hormone replacement therapy

Community partnerships and advocacy

Persons with Disability (PwD) care

We are selfish about your wellness

Comprehensive health insurance plans, as well as accident coverage for you and your family, with top-up options

Elder care for those who might need to extend support to senior family members

Preventative healthcare support

Outpatient Department (OPD) coverage, including vaccinations, dental, vision, etc.

Uncapped sick leave

Flexible work options, including remote working and part-time work

Mental wellness and self-care programmes, resources and counselling

Celebrating wins, the Godrej Way

Structured recognition platforms for individual, team and business-level achievements

Digital and offline instant recognition platforms

An inclusive Godrej

Before you go, there is something important we want to highlight. There is no place for discrimination at Godrej. Diversity is the philosophy of who we are as a company. And it has been over a century. It's not just in our DNA and nice to do. Being more diverse - especially having our team members reflect the diversity of our businesses and communities - helps us innovate better and grow faster. We hope this resonates with you.

We take pride in being an equal opportunities employer. We recognise merit and encourage diversity. We do not tolerate any form of discrimination on the basis of nationality, race, colour, religion, caste, gender identity or expression, sexual orientation, disability, age, or marital status and ensure equal opportunities for all our team members.

If this sounds like a role for you, apply now!

We look forward to meeting you.