Sr Data Platform Engineer

Sr Data Platform Engineer

Associate Data Architect II

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:

UST is searching for a Sr Data Platform Engineer who will contribute to the architectural design and execution strategy to merge separate Databricks workspaces or Snowflake accounts into a unified platform.

The opportunity:

* Metadata & Catalog Unification: Consolidate data catalogs, aligning separate Unity Catalogs or Snowflake Shares into a single, company-wide governance model.

* Security & Access Alignment: Audit and merge distinct security models, unifying IAM roles, active directory syncs, and row/column-level access controls.

* Pipeline & Code Migration: Refactor and migrate legacy ETL/ELT pipelines, Spark workflows, and orchestration routines to point to the new unified tenant.

* Cost & Asset Optimization: Identify overlapping data assets, compute resources, and storage tiers during the merge to optimize cloud spend.

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:

* Technical Requirements Cloud Infrastructure: Proven experience managing AWS ecosystems (S3, IAM, CloudTrail, VPC, Route53) with an emphasis on cross-account access.

* Data Platform Mastery: Deep expertise in Databricks (workspace administration, Delta Lake, Photon) OR Snowflake (multi-account management, Snowpark, Virtual Warehouses). Infrastructure as Code (IaC): Strong experience writing Terraform scripts to provision and replicate workspace configurations.

* Development Skills: Python and SQL skills, with experience auditing and refactoring code written by other teams.

* Experience and Qualifications 4-6 years of experience in Data Platform Engineering, or Data Architecture.

* Good to have

* Prior experience working on data platform migrations, cloud account consolidations

* Ability to act as a technical lead, mapping out migration schedules and coordinating tasks with the mid-level engineer.

Compensation can differ depending on factors including but not limited to the specific office location, role, skill set, education, and level of experience. UST provides a reasonable range of compensation for roles that may be hired in various U.S. markets as set forth below.

Role Location: Remote-US

Compensation Range: $122,000-$183,000

Benefits

Full-time, regular employees accrue a minimum of 10 days of paid vacation per year, receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year), 10 paid holidays, and are eligible for paid bereavement leave and jury duty. They are eligible to participate in the Company's 401(k) Retirement Plan with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance, as well as the following Company-paid Employee Only benefits: basic life insurance, accidental death and disability insurance, and short- and long-term disability benefits. Regular employees may purchase additional voluntary short-term disability benefits, and participate in a Health Savings Account (HSA) as well as a Flexible Spending Account (FSA) for healthcare, dependent child care, and/or commuting expenses as allowable under IRS guidelines. Benefits offerings vary in Puerto Rico.

Part-time employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company's 401(k) Retirement Plan with employer matching.

Full-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company's 401(k) program with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance.

Part-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year).

All US employees who work in a state or locality with more generous paid sick leave benefits than specified here will receive the benefit of those sick leave laws.

What we believe:

We proudly embrace the values that have shaped UST since day one. We build our culture of Humility, Humanity, and Integrity. These values inspire us to nurture a people-first, human centric culture that fosters diversity, prioritizes sustainable solutions, and keeps our people and clients at the forefront of all decisions.

Humility:

We will listen, learn, be empathetic 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 Employment Opportunity Statement

UST is an Equal Opportunity Employer.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other applicable characteristics protected by law. We will consider qualified applicants with arrest or conviction records in accordance with state and local laws and "fair chance" ordinances.

UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance.

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Snowflake, Apache Iceberg, Python, Data Engineering, Apache Spark, Tokenization, Databricks, Amazon S3, AWS IAM