Architect Data Engineering

Role Overview

The Architect / Manager will lead the design, development, and delivery of scalable data solutions across cloud and Snowflake environments. This role requires strong technical depth, leadership capability, and the ability to guide cross-functional teams in an Agile environment. The Architect will drive architectural standards, ensure best practices, and mentor engineers while collaborating closely with stakeholders across regions.

Core Responsibilities

Lead and mentor data engineering teams to deliver high-quality solutions in an Agile setup.

Define, design, and govern scalable, maintainable cloud data architectures.

Oversee solution design for Snowflake, orchestration platforms, and integration layers.

Provide technical leadership on Python automation, data pipelines, and workflow orchestration (Airflow, Dagster, etc.).

Partner with product owners, business stakeholders, and engineering leads to align on requirements and implementation plans.

Establish coding standards, review processes, and best practices for data quality, governance, and DevOps.

Support adoption of new technologies and drive continuous improvement within the team.

Required Skills and Experience

Proven leadership experience managing Agile teams and cross-functional data initiatives.  6+ years minimum direct or indirect management experience leading developers.

10+ Years of experience with relational databases, preferably a combination of traditional databases and cloud-based platforms.

Strong understanding of data modeling concepts and implementation.

Strong architectural expertise in cloud-based data platforms, especially Snowflake.

Proficiency in Python for automation, integration, and orchestration workflows.

Experience designing end-to-end data solutions with focus on scalability and maintainability.

Familiarity with orchestration tools such as Airflow or Dagster.

Excellent oral and written communication.  Ability to engage functional partners directly, when needed.

Nice-to-Have

Experience with dbt Labs or comparable tools.

Hands-on experience implementing Snowflake data models.

Interest or background in AI, machine learning, or data science.

Exposure to enterprise DevOps practices, CI/CD, and governance frameworks.

Experience with Good Practice (GxP) Software validation.

Experience handling sensitive data, including Protected Health Information (PHI).

Attitude Requirements

Ownership-driven mindset and ability to lead by example.

Ability to manage both overperformers and underperformers.

Comfortable navigating ambiguity and driving clarity.

Adaptable to evolving technologies and business needs.

Strong communication and stakeholder management skills.

Proactive and Solution-minded.

Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

All your information will be kept confidential according to EEO guidelines.

About Sutherland

Artificial Intelligence. Automation. Cloud engineering. Advanced analytics. For business leaders, these are key factors of success. For us, they’re our core expertise.

We work with iconic brands worldwide. We bring them a unique value proposition through market-leading technology and business process excellence.

We’ve created over 200 unique inventions under several patents across AI and other critical technologies. Leveraging our advanced products and platforms, we drive digital transformation, optimize critical business operations, reinvent experiences, and pioneer new solutions, all provided through a seamless “as a service” model.

For each company, we provide new keys for their businesses, the people they work with, and the customers they serve. We tailor proven and rapid formulas, to fit their unique DNA. We bring together human expertise and artificial intelligence to develop digital chemistry. This unlocks new possibilities, transformative outcomes and enduring relationships.

Sutherland

Unlocking digital performance. Delivering measurable results.