Help Build the Foundation for the Next Generation of Enterprise Data & AI
We're looking for an experienced cloud data professional to help lead a multi-year enterprise modernization initiative that will establish a secure, governed, AI-ready data platform for a major utility organization.
This isn't a traditional consulting engagement.
You won't rotate through short-term projects or spend your time chasing billable hours.
Instead, you'll become a trusted technical partner working alongside architects, engineers, security teams, and business leaders to build the foundation for enterprise analytics, operational intelligence, and AI.
This role combines hands-on engineering, platform architecture, technical leadership, and consulting.
About Waterloo Data
Waterloo Data is a boutique consulting firm specializing in modern data platforms, cloud engineering, enterprise integration, application development, and AI.
We help organizations modernize complex technology environments by combining deep technical expertise with practical business judgment. Our consultants work directly with executive leadership and engineering teams to deliver secure, scalable platforms that create long-term business value.
We believe the future of AI starts with well-governed, trusted data.
The Opportunity
Our client is embarking on a large-scale technology transformation centered on Microsoft Azure and Snowflake.
The program will establish a modern enterprise data platform built according to industry best practices for security, governance, automation, and AI enablement. You'll help bridge existing on-premises infrastructure with Azure services and Snowflake while introducing modern engineering practices that will serve as the foundation for future business units.
The initial phase of the transformation focuses on a wholesale power organization, where you'll help establish engineering standards, development environments, governance processes, and cloud architecture that will be replicated across the enterprise.
You'll work closely with enterprise architects, infrastructure teams, cybersecurity, application developers, and business stakeholders to ensure the platform is secure, scalable, and built for long-term success.
What You'll Do
Design and Build a Modern Enterprise Data Platform
- Design and implement secure, scalable Snowflake architectures using industry best practices for security, governance, and performance.
- Develop cloud-native applications and services using Python and FastAPI.
- Design data ingestion, transformation, and orchestration pipelines that integrate on-premises systems with Azure and Snowflake.
- Build data products that support enterprise reporting, advanced analytics, and AI use cases.
- Leverage Azure services to create secure, AI-ready cloud architectures.
Establish Engineering Standards
You'll help create the engineering operating model for a modern enterprise platform by:
- Establishing GitHub repositories and branching strategies.
- Designing and implementing CI/CD pipelines.
- Building standardized Development, QA, UAT, and Production environments.
- Implementing role-based access control (RBAC).
- Defining secure deployment and release processes.
- Promoting Infrastructure as Code and automation wherever practical.
- Developing reusable engineering patterns and platform standards.
Provide Technical Leadership
- Serve as a trusted technical advisor to client leadership.
- Collaborate with enterprise architects, cybersecurity teams, and infrastructure engineers.
- Mentor client developers and engineers.
- Conduct architecture reviews and code reviews.
- Help establish engineering best practices across the organization.
- Translate business objectives into practical technical solutions.
Required QualificationsExperience
- 8+ years of professional software engineering, data engineering, or cloud platform experience.
- 4+ years of enterprise technology consulting experience in a senior consulting role
- 4+ years of recent, hands-on experience implementing production solutions with Snowflake.
- 2+ years of recent experience with Informatica Enterprise Data Catalog (EDC) and Cloud Data Governance and Catalog (CDGC).
- Strong Python development experience, including FastAPI.
- Experience building enterprise solutions in Microsoft Azure.
- Experience integrating on-premises infrastructure with cloud services.
- Experience designing secure cloud architectures.
- Experience implementing GitHub workflows and CI/CD pipelines.
- Experience designing enterprise RBAC models.
- Experience working directly with enterprise clients or large internal stakeholders.
Preferred Qualifications
We're especially interested in candidates with experience in one or more of the following:
- Electric utility or energy industry experience.
- Enterprise IT modernization programs.
- Snowflake platform administration and performance optimization.
- Azure AI Services or Azure OpenAI.
- Infrastructure as Code (Terraform, Bicep, or similar).
- Enterprise integration and API design.
- Data governance and metadata management.
- DataOps and DevSecOps.
- Agile software delivery.
Technical Skills
Experience across many of the following technologies is highly desirable:
Data Platform
- Snowflake
- SQL
- Informatica Enterprise Data Catalog (EDC)
- Informatica Cloud Data Governance and Catalog (CDGC)
Cloud & AI
- Microsoft Azure
- Azure Storage
- Azure Functions
- Azure Key Vault
- Azure Entra ID
- Azure AI Services
- Azure OpenAI
Engineering
- Python
- FastAPI
- REST APIs
- GitHub
- GitHub Actions
- CI/CD
- RBAC
- Infrastructure as Code
- DevOps
What Success Looks Like
Within your first year, you will have:
- Helped establish a secure, enterprise-scale Snowflake platform.
- Built the engineering foundation for a modern Azure data ecosystem.
- Implemented governance capabilities using Informatica EDC and CDGC.
- Established GitHub, CI/CD pipelines, RBAC, and standardized development environments.
- Enabled the first business unit to successfully operate on the new platform.
- Created reusable engineering standards that support future enterprise-wide adoption.
- Earned the trust of client leadership as a key technical advisor.
Why Waterloo Data?
At Waterloo Data, our consultants are trusted advisors—not just implementers.
You'll work on technically challenging, high-impact enterprise initiatives alongside experienced architects and engineers, with the opportunity to shape long-term platform strategy and engineering practices. You'll have the autonomy to solve meaningful problems, influence critical technology decisions, and help build AI-ready data platforms that will support enterprise operations for years to come.
Pay: From $175,000.00 per year
Benefits:
- 401(k)
- Dental insurance
- Flexible schedule
- Parental leave
- Retirement plan
Work Location: Hybrid remote in Austin, TX 78701
