Data Architect I

Novo Nordisk A/S; Bengaluru; Hybrid; INR 3,000,000 - 5,500,000; Full time

Job summary

Novo Nordisk A/S is seeking a Data Architect in Bangalore to lead the solution and data architecture for the Common Data Platform. You will turn HCP and Sales data into governed data products to support analytics and approved AI use cases across International Operations.

You will own ingestion, transformation and serving designs using Snowflake and dbt, ensure data quality and governance, and mentor engineers across distributed teams.

Qualifications

• 7+ years of experience in data engineering, analytics or data platforms.
• 3+ years designing data architecture or leading complex technical solutions.
• Track record delivering enterprise-scale data solutions with accountability for design and quality.
• Strong hands-on experience with Snowflake and dbt, including data modelling, transformation, testing, performance and cost optimisation.
• Strong SQL and working proficiency in Python, with cloud integration, ELT/ETL, version control and CI/CD.
• Ability to translate business requirements into conceptual, logical and physical data models and reusable data products.
• Experience applying data quality, metadata, lineage, master data and access-control practices to production solutions.
• Strong stakeholder communication and mentoring across product, engineering and business teams in different locations.

Responsibilities

• Own solution and data architecture for assigned CDP initiatives and enable analytics and AI consumption within Enterprise AI standards.
• Design scalable ingestion, transformation and serving patterns using Snowflake and dbt, focusing on performance, cost, resilience and data quality.
• Map sources and master data relationships; translate business requirements into defined models with clear ownership and acceptance criteria.
• Design curated datasets and semantic models for reporting, self-service analytics and approved AI use cases with CI/CD and monitoring.
• Collaborate with AI Product Managers and commercial teams to assess feasibility and validate requirements through proofs of concept.
• Present designs, risks and recommendations to architecture forums and mentor GBS and vendor engineers.

Skills

Data engineering

Analytics

Data platforms

Data modelling

SQL

Python

CI/CD

Data quality

Metadata

Lineage

Stakeholder comms

Mentoring

Education

Masters/Graduation in Software Engineering or Computer Science

Tools

Snowflake

dbt

SQL tooling

CI/CD pipelines

Job description

Department: Enterprise AI, HCP AI Solutions, Global Business Services (GBS) - Enterprise IT & Quality

Location: Global Business Services (GBS), Bangalore, India. (hybrid - minimum three days per week in the office)

Your impact begins here

As a Data Architect, you will lead the solution and data architecture for the Common Data Platform, turning HCP and Sales data into reliable, governed data products that power analytics and approved AI use cases across International Operations. Your designs will help commercial teams and affiliates work from consistent, trusted definitions, so people across markets can make faster, better-informed decisions in service of lasting health.

What you'll bring

To help us assess your fit quickly, here is what matters most for this role.

• Masters/Graduation in Software Engineering, Computer Science or another relevant field.
• 7+ years of relevant experience in data engineering, analytics or data platforms, including at least 3 years designing data architecture or leading complex technical solutions.
• A track record of delivering enterprise-scale data solutions, with accountability for design decisions and technical quality across distributed teams.
• Strong hands-on experience with Snowflake and Dbt, including data modelling, transformation, testing, performance and cost optimisation.
• Strong SQL and working proficiency in Python or another relevant scripting language, with experience in cloud integration, ELT/ETL, version control and CI/CD.
• Proven ability to translate business requirements into conceptual, logical and physical models and reusable data products.
• Experience applying data quality, metadata, lineage, master data and access-control practices to production solutions.
• Strong stakeholder communication and technical mentoring skills, including collaboration across product, engineering and business teams in different locations.

Useful, but not essential:

• Understanding of commercial or CRM data and omnichannel analytics; HCP and Sales domain experience.
• Familiarity with Power BI or comparable BI tools, semantic models and data requirements for AI/ML applications, including governed LLM integrations.
• Pharmaceutical or life-sciences experience.

What you'll do

You will own solution and data architecture for assigned Common Data Platform initiatives and enable analytics and AI consumption within Enterprise AI architecture standards.

• Own solution designs for assigned CDP initiatives, from source integration through curated data products to consumption layers, and support centralisation and reuse across IO regions and affiliates.
• Design scalable ingestion, transformation and serving patterns using Snowflake and Dbt, embedding performance, cost, resilience, data quality, lineage, metadata, access control and retention requirements.
• Map HCP and Sales sources, CRM integrations and master data relationships, and translate business requirements into clear models with defined ownership and acceptance criteria.
• Design curated datasets and semantic models for consistent reporting, self-service analytics and approved AI use cases, with Dbt modelling, testing, version control, CI/CD and monitoring.
• Partner with AI Product Managers and commercial teams to assess use-case feasibility, explain design trade-offs in business terms and validate complex requirements through targeted proofs of concept.
• Present designs, risks and recommendations to architecture forums, review critical changes, mentor GBS and vendor engineers, and support technical problem resolution and operational handover.

Who you'll work with

You will join Enterprise AI, HCP AI Solutions within Global Business Services in Bangalore, part of Enterprise IT & Quality, where colleagues stay close to stakeholders across the value chain to deliver trusted technology, high quality and responsible ways of working. You will work closely with AI Product Managers and HCP AI Solutions leadership, IO-SO and IO FAST stakeholders, IO regions and affiliates, GBS engineering and architecture teams, CDP platform and enterprise architecture teams, and data owners, security and privacy specialists, as well as vendors and external consultants. Together you will clarify requirements, align designs, run architecture reviews, elevate risks and dependencies, and share knowledge across locations and time zones so that priorities move forward with clarity and speed.

What you can expect here

You will work in a global environment where your technical judgement shapes decisions that reach across regions and affiliates. The role offers room to build domain expertise, mentor engineers and architects, and broaden your skills through complex, enterprise-scale delivery at the forefront of AI and data. You will be trusted to make and explain design decisions within agreed standards, supported to perform at your best, and part of a team that values curiosity, collaboration and an inclusive, respectful way of working across cultures.

We commit to an inclusive recruitment process and equality of opportunity for all our job applicants.