Senior Data Engineer - Streaming

Description

We are seeking a highly specialized engineer in Real-time Streaming to evolve Coca- Cola’s enterprise data estate from batch-reliant processing to a continuous, event-driven ecosystem. In this role, your primary mission is to design, standardize, and codify streaming and Kappa Architecture patterns, minimizing redundant batch layers .

Rather than just building isolated data pipelines, you will architect the foundational frameworks, reference implementations , and low-code configurations that enable engineering teams across the organization to instantly deploy robust, real-time data streams. The target destination for our real-time data ecosystem is Microsoft Fabric (Spark Streaming and /or Fabric Real-Time Intelligence ) .

The ideal candidate is a champion of log-centric data design, possesses deep expertise in enterprise Apache Kafka environments.

Core Responsibilities

Build a reusable streaming architecture playbook for the enterprise, with a strong focus on Kappa-style patterns, event-driven processing, and near-real-time analytics on Fabric.

Architect, document, and templatize standardized replay/backfill mechanisms (offset reset + checkpoint/state management + sink rebuild/dedupe strategy) .

Contextualize Processing Latency by c reat ing distinct architectural blueprints and guardrails tailored to business SLAs : sub-second real-time and near-real-time

Abstract Streaming Complexities by packaging advanced stream concepts ( stateful processing, watermarking, late-arriving data remediation, and complex windowing ) into reusable templates.

Codify strict design patterns for effectively-once / end-to-end idempotency with deterministic replay .

Build metadata-driven frameworks that gracefully handle upstream schema drift without interrupting or crashing 24/7 downstream streaming queries.

Act as the internal authority on streaming design patterns across Kafka/Event Hubs, designing scalable ingestion into Fabric .

Build standardized dashboards to track critical stream health metrics, including end-to-end data lag, processing throughput, backpressure, and poison-pill routing via Dead Letter Queues (DLQ).

Required Qualifications & Experience

8+ years of experience in data platform architecture, with a dedicated minimum of 3+ years architecting and operating production-grade Streaming and Kappa Architectures.

4+ years of experience running Spark Streaming and Apache Kafka pipelines . Must understand topic partitioning strategies, consumer group mechanics, schema registries (Avro/JSON), and performance tuning for high-throughput streams.

Deep familiarity with stream processing engines such as Spark Structured Streaming, Kafka Streams, or Apache Flink.

Strong  Scala and/or PySpark  experience with stateful Structured Streaming.

Advanced knowledge of the internal mechanics of Delta Lake storage, specifically regarding append-only streaming sinks and checkpointing behaviors.

The "Framework" Mindset: A strong portfolio demonstrating the creation of developer-facing frameworks, custom connectors, or configuration-driven streaming engines that abstract infrastructure.

Ability to articulate complex streaming topologies and real-time concepts to both application developers and executive stakeholders.

Preferred Qualifications

Confluent Certified Developer or Kafka Administrator certification.

Proven experience modernizing Lambda architectures toward Kappa-first designs .

Hands-on experience utilizing Fabric Real-Time Intelligence, including Fabric Eventstreams and KQL Databases. (Equivalent deep experience with Azure Event Hubs, Stream Analytics, or Databricks Delta Live).

The Coca-Cola Company will not offer sponsorship for employment status (including, but not limited to, H1-B visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require The Coca-Cola Company's sponsorship to continue to work legally in the United States.

Conditions

United States: 152,000 - 178,300 USD

Base pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered.

Annual Incentive Reference Value Percentage:

15

Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target.

United States of America

City/Cities:

Atlanta

Travel Required:

00% - 25%

Relocation Provided:

No

Job Posting End Date:

November 6, 2026

Our Purpose and Growth Culture:

We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what’s possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors – curious, empowered, inclusive and agile – and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class. When we collect your personal information as part of a job application or offer of employment, we do so in accordance with industry standards and best practices and in compliance with applicable privacy laws.