Databricks Engineer

Overview

Databricks Engineer role at UST.

This is a role focused on adopting and integrating Databricks as the enterprise AI / ML platform.

Role Description

Databricks Engineer

• Lead II - Software Engineering

Who We Are

Born digital, UST transforms lives through the power of technology.

We walk alongside our clients and partners, embedding innovation and agility into everything they do.

We help them create transformative experiences and human-centered solutions for a better world.

UST is a mission-driven group of 29,000+ practical problem solvers and creative thinkers in more than 30 countries.

Our entrepreneurial teams are empowered to innovate, act nimbly, and create a lasting and sustainable impact for our clients, their customers, and the communities in which we live.

With us, you'll create a boundless impact that transforms your career—and the lives of people across the world.

Visit us at UST.com.

You Are

We are seeking a forward-thinking Databricks Engineer to lead the adoption and integration of Databricks as our enterprise AI / ML platform.

This individual will establish technical structure, drive innovation, and ensure seamless collaboration with internal infrastructure teams to align with organizational standards.

The Opportunity

Architecture Leadership : Design, implement, and optimize scalable, secure, and compliant Databricks-based AI / ML architectures that support advanced analytics, data engineering, and machine learning workloads.

Collaboration & Compliance : Partner with internal infrastructure, security, and compliance teams to ensure all solutions meet organizational standards and regulatory requirements, including data sovereignty and global deployment needs.

Data Integration : Architect and implement robust integrations with diverse internal and external data sources, enabling efficient data ingestion, transformation, and access for analytics and AI / ML workflows.

Self-Service Enablement : Develop frameworks, tools, and documentation to enable data scientists and analysts to develop, train, and deploy models independently, fostering a culture of self-service and innovation.

ModelOps Strategy : Develop and implement a comprehensive ModelOps strategy to manage model lifecycle, governance, versioning, and deployment at scale.

Ensure seamless integration with existing DevOps and DataOps practices.

This position description identifies the responsibilities and tasks typically associated with the performance of the position.

Other relevant essential functions may be required.

What You Need

Proven Experience : 5+ years architecting and implementing enterprise-grade data and AI / ML solutions, preferably with Databricks, Apache Spark, and cloud platforms (AWS, Azure, GCP).

Technical Expertise : Deep understanding of data Lakehouse architectures, ETL / ELT pipelines, data governance, and security best practices.

ModelOps Strategy : Demonstrated experience in developing and implementing a ModelOps strategy, including model lifecycle management, versioning, governance, and deployment automation.

Consulting & Communication : Strong consulting, stakeholder management, and communication skills, with a track record of influencing senior leadership and driving technology adoption.

Innovation & Initiative : Demonstrated ability to drive innovation, introduce contemporary practices, and lead technology transformations.

Education : Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent experience.

Thought Leadership : Ability to define and communicate architecture vision, roadmaps, and best practices to both technical and non-technical audiences.

Continuous Improvement : Passion for learning, sharing knowledge, and staying ahead of industry trends in data and AI.

Customer Focus : Commitment to delivering measurable business value and exceptional user experiences.

Benefits

Employees receive mandatory and non-mandatory benefits, including vacation, holidays, and health insurance.

Some benefits may vary by location and eligibility.

What We Believe

We proudly embrace the values of Humility, Humanity, and Integrity.

We build a people-first, human-centric culture that fosters diversity and sustainable solutions.

Humility : We will listen, learn, and help selflessly in our interactions with everyone.

Humanity : Through business, we will better the lives of those less fortunate than ourselves.

Integrity : We honor our commitments and act with responsibility in all our relationships.

Equal Opportunity

An Equal Opportunity Workplace, Free of Discrimination and Harassment.

We are an equal opportunity employer and decisions are based on merit and business needs.

Our Human Rights Policy explains our stance.

We do not discriminate or harass based on race, color, religion, disability, gender, national origin, sexual orientation, gender identity, gender expression, age, genetic information, military status, or any other legally protected status.

We value diversity and believe a diverse workplace builds a competitive advantage.

/ Un lugar de trabajo con igualdad de oportunidades y libre de discriminación y acoso.

En UST, proporcionamos un ambiente de trabajo libre de discriminación y acoso.

Somos un empleador que ofrece igualdad de oportunidades y basamos las decisiones de empleo en los méritos y las necesidades del negocio.

No discriminamos ni permitimos acoso por motivos de raza, color, religión, discapacidad, género, origen nacional, orientación sexual, identidad de género, expresión de género, edad, información genética, estado militar u otro estado legalmente protegido.

Valoramos la diversidad y creemos que un lugar de trabajo diverso es una ventaja competitiva.

UST reserves the right to periodically redefine roles and responsibilities based on organizational needs and performance.

#UST

Skills

Terraform, Git, Python, AWS

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Engineering and Information Technology

Industries

IT Services and IT Consulting

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