Lead Data Architect

COMPANY OVERVIEW

We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best — bold thinkers with big hearts who challenge one another and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what’s next.​

OVERVIEW

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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.

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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.

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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

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Act as a data and analytics leader with strong technical and domain expertise to guide architecture decisions and delivery outcomes.

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Collaboratively develop technology and capability roadmaps that support long-term data strategy and business priorities.

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Evaluate, implement, and deploy emerging data engineering technologies, processes, and practices.

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Partner with business analysts and architects to define technical architectures for strategic projects and initiatives.

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Lead the design and implementation of scalable data pipelines, data modelling and data quality frameworks.

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Develop communication and education plans that help technical teams adopt technologies and processes across the data engineering ecosystem.

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Contribute as an active member of product teams to support current solutions and shape future capabilities.

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Mentor and guide data engineers, fostering innovation, technical excellence, and strong engineering practices within the team.

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Assist in hiring & onboarding

MINIMUM QUALIFICATIONS

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Education : Bachelor’s degree or equivalent practical experience in a relevant field.

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Experience: 12+ years of total work experience in data architecture, data engineering, or related technology roles.

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Strong experience with modern cloud platforms, preferably Google Cloud.

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Hands-on experience in ETL, data warehousing, data quality, data observability, and structured and unstructured data systems.

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Strong technical skills in SQL, Python, BigQuery, Composer, Dataflow, dbt, Data Modelling, Orchestration, and Prompt Engineering.

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Familiarity with software engineering and delivery tools such as Git, GitHub Actions, Jira or Azure DevOps, along with Agile ways of working.

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Proven ability to partner with business stakeholders, design solutions to meet business needs, and explain architecture trade-offs clearly.

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Strong soft skills including communication, collaboration, adaptability, problem-solving, and ownership.

PREFERRED QUALIFICATION:

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Strong hands-on coding skills in Python and SQL.

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Experience developing procedures and scripts for data loading, transformation, and migration.

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Familiarity with Kafka and distributed computing tools.

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Broader experience with cloud technologies, with Google Cloud preferred.

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Strong awareness of AI, AI in data engineering.

ELIGIBILITY

Applicants must meet minimum age qualifications in the country in which the job is located.