Principal Engineer Data Streaming

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The Principal Data Streaming Engineer will serve as the enterprise technical authority for real-time and near-real-time data streaming platforms and architectures, defining the long-term streaming strategy and architectural standards for scalable, reliable, and secure data integration across the organization. This role operates across multiple teams and business domains with formal architectural governance and approval authority for streaming solutions, while remaining hands-on through reference implementations, code reviews, and production issue resolution. The role also provides thought leadership, technical direction, and mentorship to elevate streaming and distributed systems practices enterprise-wide.

What you will do

• Define, own, and approve enterprise architecture and technical standards for data streaming, CDC, and event-driven integration patterns.

• Establish and enforce organization-wide best practices for Kafka and Striim implementation, including topic design, partitioning, schema evolution, pipeline configuration, reliability, observability, testing, and operational readiness.

• Govern end-to-end streaming and CDC flows from source systems through Kafka and Striim pipelines to analytical and operational targets.

• Lead architectural design, formal reviews, and approval of complex, large-scale streaming solutions spanning multiple source systems, platforms, and domains.

• Serve as the highest-level technical escalation point for streaming platform design, performance, scalability, reliability, and production issue resolution.

• Partner with enterprise architects, platform engineering, security, and governance teams to align streaming solutions with enterprise architecture and data strategy.

• Establish standards for operational resilience, including replay capabilities, observability, and testing.

• Influence platform roadmaps by evaluating emerging streaming technologies and recommending strategic investments.

• Provide authoritative technical guidance through design reviews, documentation, and architectural decision records.

• Drive adoption of event-driven and real-time integration patterns through technical advocacy and enablement.

• Mentor senior, lead, and mid-level engineers to raise the maturity of data streaming and distributed systems practices.

What you will bring

• Bachelor’s degree in Computer Science or equivalent experience.

• 12+ years of software or data engineering experience with progressively increasing technical leadership responsibility.

• Deep, hands-on expertise with Kafka and Striim in large-scale, production environments.

• Extensive experience designing and supporting CDC and streaming integrations with Oracle, PostgreSQL, Redshift, and Snowflake.

• Expert-level understanding of distributed systems, streaming architectures, and event-driven design patterns.

• Demonstrated ability to define enterprise standards and exercise formal architectural approval authority.

• Strong communication, documentation, and technical leadership skills.

Work Environment & Disclaimer

• This job operates in a professional office environment.

This job description is not intended to be an exhaustive list of all duties, responsibilities and qualifications of the job. The employer has the right to revise this job description at any time. You will be evaluated in part based on your performance of the responsibilities and/or tasks listed in this job description. You may be required to perform other duties that are not included on this job description. The job description is not a contract for employment, and either you or the employer may terminate employment at any time, for any reason, as per terms and conditions of your employment contract.

What we offer you

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