Senior Data Engineer — Customer Data Platform

1 Opening
Atlanta

Senior Data Engineer — Customer Data Platform

Lead I - Data 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 Senior Data Engineer to lead the design and development of the scalable, high-performance data architecture that underpins our Customer Data Platform (CDP) — the authoritative source of truth for customer data across the entire US adult population.

The opportunity:

• Architect and develop scalable, resilient batch and streaming data pipelines using ADF, Databricks, and Spark — designed for the throughput and reliability CDP demands at population scale.

• Design and implement end-to-end data architecture across ADLS, Snowflake, Cosmos DB, and SQL Server, ensuring optimal storage strategies for different customer data workloads.

• Define and enforce data modeling standards, data contracts, and schema evolution strategies that protect the integrity of CDP as the single source of truth.

• Build and maintain data quality, reconciliation, and observability frameworks — ensuring every customer profile meets the accuracy and completeness thresholds required for trusted, authoritative data.

• Optimize performance, scalability, and cost efficiency of large-scale distributed data systems processing billions of customer records.

• Develop and manage data ingestion frameworks for APIs, event streams (Event Hub/Kafka), and enterprise systems — ensuring no customer touchpoint is missed.

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:

• Bachelor's or Master's degree in Computer Science, Engineering, or related field

• 6+ years of experience in data engineering and distributed data systems

• Proven experience designing and implementing enterprise-scale data platforms serving high-volume, high-reliability use cases

• Strong experience in cloud-native architectures (Azure preferred)

• Technical Skills

• Advanced programming: Python, Spark (PySpark/Scala), SQL

• Azure ecosystem: ADF, ADLS, Databricks

• Data platforms: Snowflake, Cosmos DB, SQL Server

• Strong expertise in ETL/ELT design, streaming architectures, and data modeling for customer-centric data domains

• Experience with API integrations and event-driven architectures at scale

• Hands-on experience with data quality frameworks, reconciliation techniques, and monitoring — with a focus on trust and accuracy

• Familiarity with data support for AI/ML use cases (e.g., feature pipelines, data preparation, metadata management for identity resolution)

• Basic understanding of RAG, vector search, and LLM-driven applications (supporting role, not primary ownership)

• Experience implementing data governance, lineage, and access controls in regulated environments

• Expertise in performance tuning and cost optimization for population-scale data processing

• Knowledge, Skills, and Abilities

• Strong system design and architectural thinking for data platforms that must be both authoritative and performant

• Ability to handle large-scale, complex data ecosystems spanning hundreds of source systems

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: Georgia

Compensation Range: $70,000-$105,000

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.

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.

data engineering,machine learning,data modelling,ensemble approaches,ai/ml engineering