Lead Data Architect

General Mills, Inc.; Mumbai; On-site; INR 3,500,000 - 9,000,000; Full time

Job summary

General Mills는 글로벌 데이터 전략을 강화할 Lead Data Architect를 찾습니다. 이 직무는 데이터 파이프라인 설계, 데이터 모델링, 품질 프레임워크 구축을 주도하고 데이터 엔지니어링 생태계의 현대화를 이끕니다.

지원자는 12년 이상의 데이터 아키텍처/엔지니어링 경력과 Google Cloud 경험이 필요합니다. ETL, 데이터 웨어하우징 및 observability를 포함한 실무 능력과 SQL/Python 스킬도 필수입니다. 글로벌 팀과 협력하며 기술 방향을 제시하고 멘토링합니다.

Qualifications

• Bachelor’s degree or equivalent practical experience in a relevant field.
• 12+ years of total work experience in data architecture, data engineering, or related technology roles.
• Strong experience with modern cloud platforms, preferably Google Cloud.
• Hands-on experience in ETL, data warehousing, data quality, data observability, and structured and unstructured data systems.
• Strong technical skills in SQL, Python, BigQuery, Composer, Dataflow, dbt, Data Modelling, Orchestration, and Prompt Engineering.
• Familiarity with software engineering and delivery tools such as Git, GitHub Actions, Jira or Azure DevOps, along with Agile ways of working.
• Proven ability to partner with business stakeholders, design solutions to meet business needs, and explain architecture trade-offs clearly.
• Strong soft skills including communication, collaboration, adaptability, problem-solving, and ownership.

Responsibilities

• Act as a data and analytics leader with strong technical and domain expertise to guide architecture decisions and delivery outcomes.
• Collaboratively develop technology and capability roadmaps that support long-term data strategy and business priorities.
• Evaluate, implement, and deploy emerging data engineering technologies, processes, and practices.
• Partner with business analysts and architects to define technical architectures for strategic projects and initiatives.
• Lead the design and implementation of scalable data pipelines, data modelling and data quality frameworks.
• Develop communication and education plans that help technical teams adopt technologies and processes across the data engineering ecosystem.
• Contribute as an active member of product teams to support current solutions and shape future capabilities.
• Mentor and guide data engineers, fostering innovation, technical excellence, and strong engineering practices within the team.
• Assist in hiring & onboarding

Skills

Communication

Collaboration

Adaptability

Problem solving

Ownership

Education

Bachelor's degree or equivalent practical experience in a relevant field

Tools

Git

GitHub Actions

Jira

Azure DevOps

Job description

회사 개요 우리는 전 세계가 사랑하는 식품을 만들기 위해 존재합니다. 하지만 우리는 그 이상을 합니다. 우리 회사는 선한 영향력을 발휘하는 것을 최우선으로 하는 곳이며, 매일매일 배움을 확장하고 새로운 시각을 탐구하며 새로운 가능성을 재창조하는 공간입니다. 우리는 서로에게 도전하고 성장할 수 있는 대담한 사고를 가진 인재, 즉 최선을 다할 수 있는 인재를 찾습니다. 식품 분야의 확고한 리더가 되기 위해, 우리는 끊임없이 다음을 향해 도전하는 사람들과 함께합니다.

OVERVIEW As a Lead Data Architect, you will help shape how connected data drives business action across General Mills by designing scalable, sustainable data solutions and advancing modern data architecture practices. You will work closely with data engineers, business analysts, architects, and cross-functional partners to define technical direction, enable strategic initiatives, and bring new data capabilities to life across global teams. This is a strong opportunity to influence data strategy, modernize the data engineering ecosystem, and mentor technical talent in a highly collaborative environment.

KEY ACCOUNTABILITIES

• Act as a data and analytics leader with strong technical and domain expertise to guide architecture decisions and delivery outcomes.
• Collaboratively develop technology and capability roadmaps that support long-term data strategy and business priorities.
• Evaluate, implement, and deploy emerging data engineering technologies, processes, and practices.
• Partner with business analysts and architects to define technical architectures for strategic projects and initiatives.
• Lead the design and implementation of scalable data pipelines, data modelling and data quality frameworks.
• Develop communication and education plans that help technical teams adopt technologies and processes across the data engineering ecosystem.
• Contribute as an active member of product teams to support current solutions and shape future capabilities.
• Mentor and guide data engineers, fostering innovation, technical excellence, and strong engineering practices within the team.
• Assist in hiring & onboarding

MINIMUM QUALIFICATIONS

• Education: Bachelor’s degree or equivalent practical experience in a relevant field.
• Experience: 12+ years of total work experience in data architecture, data engineering, or related technology roles.
• Strong experience with modern cloud platforms, preferably Google Cloud.
• Hands-on experience in ETL, data warehousing, data quality, data observability, and structured and unstructured data systems.
• Strong technical skills in SQL, Python, BigQuery, Composer, Dataflow, dbt, Data Modelling, Orchestration, and Prompt Engineering.
• Familiarity with software engineering and delivery tools such as Git, GitHub Actions, Jira or Azure DevOps, along with Agile ways of working.
• Proven ability to partner with business stakeholders, design solutions to meet business needs, and explain architecture trade-offs clearly.
• Strong soft skills including communication, collaboration, adaptability, problem-solving, and ownership.

PREFERRED QUALIFICATION

• Strong hands-on coding skills in Python and SQL.
• Experience developing procedures and scripts for data loading, transformation, and migration.
• Familiarity with Kafka and distributed computing tools.
• Broader experience with cloud technologies, with Google Cloud preferred.
• Strong awareness of AI, AI in data engineering.

자격 요건 지원자는 해당 직무가 위치한 국가의 최소 연령 요건을 충족해야 합니다.

새로운 가능성. 대담한 사고. 진실된 마음. 탁월한 사람들과 함께 탁월한 브랜드를 만듭니다. General Mills는 전 세계가 사랑하는 식품을 만듭니다. 100여 개 시장에 걸쳐서 우리는 힘을 합쳐 새로운 제품을 개발하고, 혁신을 주도하며, 함께 성장해 나갑니다. 이곳에서 여러분은 선의를 추구하는 기업에서 의미 있는 일을 하며 식품 산업의 미래를 이끌어 나갈 수 있습니다.