Sr Data EngineerEmployment Type: Full-Time, Long-Term
Role Location: Hybrid - Atlanta, GA
Industry: Consumer Goods
About the RoleWe are looking for a Data Engineer to join our team. This role supports a leading organization in the Consumer Goods industry. The project is based in Atlanta, GA and is building, modernizing, and scaling Customer & Commercial product platforms across its North America business - including sales, service, and customer experience capabilities, operated under a modern Product Operating Model.
In this role, you will be responsible for leading the technical vision, design, and evolution of data platforms and segmentation capabilities that power Customer and Commercial product teams. You will act as a senior individual contributor and hands-on technical leader, shaping how customer, commercial, and behavioral data is modeled, segmented, and activated across products to enable better decisions, personalization, and measurable business outcomes.
Key Responsibilities- Partner closely with Product Managers, Designers, and Tech Leads to co-own outcomes and participate actively in product discovery to ensure segmentation strategies are technically feasible, scalable, and analytically sound.
- Translate business and customer questions into durable data models and segmentation frameworks.
- Define and evolve the segmentation architecture across customer and commercial data domains; design scalable data models that support real-time, near real-time, and batch segmentation use cases.
- Ensure segmentation logic is reusable, explainable, and consistent across channels and products; make explicit trade-offs across latency, accuracy, cost, privacy, and maintainability.
- Build and maintain high-quality, production-grade data pipelines and services with strong standards for data quality, lineage, observability, and reliability.
- Reduce fragmentation and duplication in segmentation logic across teams; leverage metrics to continuously improve data freshness, accuracy, and usability.
- Lead complex technical initiatives end-to-end through hands-on contribution; mentor senior engineers and Tech Leads through coaching and technical guidance (without direct people management).
- Design and evolve segmentation and data platform architectures leveraging Microsoft Azure data services and Azure Data Fabric concepts, ensuring interoperability, governance, and reuse across domains.
- Optimize designs across cost, performance, latency, and scalability using Azure-native capabilities and patterns; ensure secure-by-design implementations aligned with Azure identity, access, encryption, and compliance controls.
- Ensure segmentation approaches comply with data privacy, consent, and regulatory requirements; collaborate with Security, Privacy, and Legal teams to embed governance into platform design - not bolt it on later.
- Communicate segmentation concepts, assumptions, and limitations in clear business language; proactively surface data constraints, privacy considerations, and trade-offs.
Basic Qualifications- Self-motivated, quick learner, and adaptable to new technologies and legacy systems.
- Thrives in a team environment, actively contributes to collaboration, fostering a sense of community.
- Excellent problem-solving and analytical skills, with a keen eye for detail and a proactive approach to issue resolution.
Requirements- Bachelor's degree in Computer Science, Engineering, Data Science, or equivalent experience.
- 8+ years of hands-on experience in data platform, analytics engineering, or backend engineering roles.
- Deep expertise in data modeling, segmentation strategies, and large-scale data systems.
- Hands-on expertise with Microsoft Azure data services (ingestion, storage, processing, analytics, activation) and Azure Data Fabric concepts.
- Strong experience with cloud-native data platforms and modern data tooling.
- Proven ability to partner closely with product and business stakeholders.
- Demonstrated impact as a senior individual contributor on complex, cross-team initiatives.
Things to keep in mind!- Applicants should be eligible to work in the US without requiring sponsorship now or in the future.
- Alignment: W2 or C2C
- Individual pay is determined by multiple factors, including job-related knowledge, skills, experience, and relevant education or training.
