Principal Data Architect

• Work with Toumetis’ Principal Cloud Engineer to evaluate and advise on cloud data technologies (e.g. Snowflake, Databricks, Redshift, Azure Data Services), balancing cost, performance, and long-term flexibility.
• Challenge existing constraints and design patterns pragmatically, appropriate to a small but growing company.
• Design data flows and lifecycle management from ingestion to consumption.

• Partner with the data science and software development teams to establish strong MLOps and DataOps practices .
• Support geospatial and large-scale analytical workloads.
• Ensure data is discoverable, reusable, and fit for experimentation and production ML.

• Develop a streamlined Enterprise Data Management (EDM) and data governance roadmap.
• Ensure governance supports—not blocks—innovation and strategy changes.
• Contribute to solution design with clients, including pre-sales, technical presentations, and strategy sessions.

• Create conceptual, logical, and physical data models across multiple subject areas.
• Define data architecture frameworks, standards, and policies.
• Map and manage data flows across systems and teams.
• Advise on or lead procurement and implementation of data platforms and tooling.
• Build interactive analytics solutions and guide clients to actionable insights.
• Support traditional and modern data platforms (SQL Server, cloud data warehouses, big data ecosystems).

• ~7+ years working with business and technology stakeholders on data architecture and analytics initiatives.
• Proven experience designing and delivering scalable data platforms in cloud environments.
• Strong hands-on experience with Python, SQL , and infrastructure-as-code.
• Experience across major cloud providers ( AWS , Azure, or GCP).
• Familiarity with modern data platforms (e.g. Snowflake, Databricks, Redshift, Hadoop ecosystems).
• Solid understanding of data science and machine learning workflows and their infrastructure pain points.
• Experience with Microsoft data platforms (SQL Server, Power BI, Azure Data Services) is a plus.

• A DataOps-first mindset : lineage, versioning, data contracts, and automation by default.
• Comfortable challenging existing architectures and proposing pragmatic alternatives.
• Strong systems thinker who understands when to apply different data modeling patterns.
• Self-starter who thrives in ambiguity and small-team environments.
• Passionate about solving problems with data and staying current with emerging tools and practices.
• Strong communicator, able to influence engineers, data scientists, and clients alike.

This role is foundational to our next phase of growth.

You will define and improve how data is built, governed, and consumed across the company—ensuring it is scalable, observable, and future-proof , while remaining practical for a small, fast-moving team.

If you enjoy owning data end-to-end , bridging disciplines, and building platforms that unlock real business and analytical value, we’d love to talk.