Own the end-to-end architecture and roadmap for Montrose’s enterprise data and AI platform on Snowflake (Azure)
Lead the transition from legacy .NET and MS SQL–based data environments to modern cloud-native data patterns
Define and enforce standards for data ingestion, transformation, modeling, analytics, and AI enablement
Establish modern ELT pipelines using dbt, Fivetran, and/or appropriate Azure-native equivalents
Design the platform to be Data Cloud–ready, supporting future integrations with Salesforce Snowflake Data Cloud and Workday Snowflake Data Cloud
Lead the evaluation, selection, and implementation of enterprise BI and analytics tooling
Lead the evaluation and adoption of enterprise AI / LLM platforms (e.g., Abacus or comparable solutions)
Design and deliver an initial AI-driven use case that automates and materially improves testing, monitoring, and remediation workflows
Ensure the initial AI use case delivers measurable efficiency, reliability, or cost improvements that justify capital investment
Establish analytics-ready and AI-ready data models
Define data and AI governance practices including security, access control, lineage, and cost management
Serve as the senior technical authority for data, analytics, and AI platform decisions
Partner with IT, Engineering, Operations, Finance, and executive leadership
Build and lead the data organization, starting with a senior data engineer
Leverage a nearshore delivery model utilizing Latin American talent
Mentor engineers and analysts, setting expectations for rigor, documentation, and measurable outcomes

Requirements

8+ years of experience in data engineering, analytics, or data platforms
4+ years in senior technical leadership or architecture roles
Deep hands-on experience with Snowflake and cloud data platforms
Proven success modernizing legacy data stacks (.NET, MS SQL Server)
Strong experience with dbt, Fivetran, or comparable tools
Experience evaluating BI and enterprise AI / LLM platforms
Strong understanding of data modeling, governance, and analytics engineering
Demonstrated ability to deliver AI use cases with measurable business impact
Strong communication skills across technical and executive audiences.
Preferred Experience with Abacus or similar enterprise AI platforms
Familiarity with Azure-native analytics and AI services
Experience operating nearshore or distributed teams in Latin America
Experience building AI-enabled operational platforms
Exposure to regulated or data-intensive enterprise environments.

Benefits

Mentorship and professional development resources to advance your career
Direct exposure to our industry’s leading experts who are solving the world’s toughest environmental challenges
An entrepreneurial environment where you can learn, thrive and collaborate with talented colleagues
Opportunities to engage and contribute in our Diversity, Fairness and Inclusion and Women Empowering Leadership employee resource groups
Competitive medical, dental, and vision insurance coverage
401k with a competitive 4% employer match
Progressive vacation policies, company holidays and paid parental leave benefits to ensure work/life balance
A financial assistance program that supports peers in need, known as the Montrose Foundation
Access to a student loan planning tool to optimize your student loan payoff plans and compare student loan rates with lenders.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data engineeringanalyticsdata platformsSnowflakecloud data platformsdbtFivetrandata modelingAI use casesgovernance

Soft Skills

technical leadershipcommunicationmentoringcollaborationsetting expectations