Job Term : Contract-to-hire.

Project Location : Onsite work (Ahmedabad, Gujarat).

Interview Mode : Phone and /or Virtual (Video) interview.

Job Description :

This position is contract-to-hire, with a minimum of 3 months before conversion.

Job Summary :

Were looking for a strategic and technically strong Senior Data Architect to join our high-growth digital team.

The selected person will play a critical role in shaping the companys global data architecture and vision.

The ideal candidate will lead enterprise-level architecture initiatives, collaborate with engineering and business teams, and guide a growing team of engineers and QA professionals.

This role involves deep engagement across domains including Marketing, Product, Finance, and Supply Chain, with a special focus on marketing technology and commercial analytics relevant to the CPG/FMCG industry.

The candidate should bring a hands-on mindset, a proven track record in designing scalable data platforms, and the ability to lead through influence.

An understanding of industry-standard frameworks (e.g., TOGAF), tools like CDPs, MMM platforms, and AI-based insights generation will be a strong plus.

Curiosity, communication, and architectural leadership are essential to succeed in this role.

Key Responsibilities :

- Enterprise Data Strategy: Design, define and maintain a holistic data strategy & roadmap that aligns with corporate objectives and fuels digital transformation.

- Ensure data architecture and products aligns with enterprise standards and best practices.

- Data Governance & Quality: Establish scalable governance frameworks to ensure data accuracy, privacy, security, and compliance (e.g., GDPR, CCPA).

- Oversee quality, security and compliance initiatives.

- Data Architecture & Platforms: Oversee modern data infrastructure (e.g., data lakes, warehouses, streaming) with technologies like Snowflake, Databricks, AWS, and Kafka.

- Marketing Technology Integration: Ensure data architecture supports marketing technologies and commercial analytics platforms (e.g., CDP, MMM, ProfitSphere) tailored to the CPG/FMCG industry.

- Architectural Leadership: Act as a hands-on architect with the ability to lead through influence.

- Guide design decisions aligned with industry best practices and e's evolving architecture roadmap.

- Cross-Functional Collaboration: Partner with Marketing, Supply Chain, Finance, R&D, and IT to embed data-driven practices and deliver business impact.

- Lead integration of data from multiple sources to unified data warehouse.

- Cloud Optimization: Optimize data flows, storage for performance and scalability.

- Lead data migration priorities, manage metadata repositories and data dictionaries.

- Optimise databases and pipelines for efficiency.

- Manage and track quality, cataloging and observability.

- AI/ML Enablement: Drive initiatives to operationalize predictive analytics, personalization, demand forecasting, and more using AI/ML models.

- Evaluate emerging data technologies and tools to improve data architecture.

- Team Leadership: Lead, mentor, and enable high-performing team of data engineers, analysts, and partners through influence and thought leadership.

- Vendor & Tooling Strategy: Manage relationships with external partners and drive evaluations of data and analytics tools.

- Executive Reporting: Provide regular updates and strategic recommendations to executive leadership and key stakeholders.

- Data Enablement: Design data models, database structures, and data integration solutions to support large volumes of data.

Qualifications and Requirements :

- Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.

- 18+ years of experience in Information Technology.

- 8+ years of experience in data architecture, data engineering, or a related field, with a focus on large-scale, distributed systems.

- Strong understanding of data use cases in the CPG/FMCG sector.

- Experience with tools such as MMM (Marketing Mix Modeling), CDPs, ProfitSphere, or inventory analytics preferred.

- Awareness of architecture frameworks like TOGAF.

- Certifications are not mandatory, but candidates must demonstrate clear thinking and experience in applying architecture principles.

- Must possess excellent communication skills and a proven ability to work cross-functionally across global teams.

- Should be capable of leading with influence, not just execution.

- Knowledge of data warehousing, ETL/ELT processes, and data modeling.

- Deep understanding of data modeling principles, including schema design and dimensional data modeling.

- Strong SQL development experience including SQL Queries and stored procedures.

- Ability to architect and develop scalable data solutions, staying ahead of industry trends and integrating best practices in data engineering.

- Familiarity with data security and governance best practices.

- Experience with cloud computing platforms such as Snowflake, AWS, Azure, or GCP.

- Excellent problem-solving abilities with a focus on data analysis and interpretation.

- Strong communication and collaboration skills.

- Ability to translate complex technical concepts into actionable business strategies.

- Proficiency in one or more programming languages such as Python, Java, or Scala.