Lead and scale the Data Streaming Engineering organization, including Senior and Lead Data Streaming Engineers
Own the technical vision and roadmap for real-time and CDC pipelines using Kafka and Striim
Define standards for streaming architecture, schema evolution, replayability, observability, and operational readiness
Ensure streaming solutions integrate reliably with Oracle, PostgreSQL, Amazon Redshift, and Snowflake
Partner with Enterprise and Data Architects to influence event-driven and hybrid (batch + streaming) platform designs
Establish approved patterns for: CDC ingestion, Event modeling and contracts, Topic design and retention, Downstream consumption (analytics, APIs, operational systems)
Guide technology selection and evolution across streaming, orchestration, and cloud-native services
Hire, develop, and manage high-performing data streaming and data engineering teams (including distributed and offshore teams where applicable)
Set clear expectations for delivery, quality, reliability, and on-call ownership
Translate business priorities into executable engineering plans and delivery milestones
Provide escalation leadership for complex production incidents related to streaming latency, data correctness, or pipeline failures
Ensure data streaming SLAs/SLOs are defined and met (freshness, latency, completeness)
Oversee integration of testing, monitoring, and alerting into CI/CD and runtime operations
Drive continuous improvement in resiliency, scalability, and cost efficiency of streaming platforms
Collaborate with Analytics, Data Science, Product, and Business stakeholders to align streaming capabilities with business outcomes
Partner with Security, Governance, and Risk teams to ensure data protection, auditability, and compliance
Communicate clearly with senior leadership on roadmap progress, risks, and trade-offs.

Requirements

Bachelor’s degree in Computer Science or equivalent experience.
10+ years of post-degree professional experience in data engineering or software engineering
5+ years in engineering leadership roles, including managing senior engineers and technical leads
Proven experience building and operating data streaming platforms at scale
Strong experience with Kafka and/or Striim, including CDC and event-driven architectures
Experience integrating streaming pipelines with Oracle, PostgreSQL, Redshift, and Snowflake
Deep understanding of distributed systems concepts: ordering, fault tolerance, backpressure, and replay
Hands-on familiarity with cloud-based streaming and data services, especially on AWS
Strong Python and SQL skills; ability to review and guide complex code and pipeline designs
Experience with orchestration tools such as Airflow or Argo
Experience with API-based data integrations and vendor data exchange.
Knowledge of analytics enablement for BI and downstream consumers
Understanding of core data stewardship processes and data contracts
Demonstrated success hiring, mentoring, and retaining high-performing engineering teams
Strong communication skills to influence architecture and delivery across technical and non-technical stakeholders
Experience operating in fast-paced, Agile delivery environments.

Benefits

Medical, dental, vision and life insurance
Retirement savings – 401(k) plan with generous company matching contributions (up to 6%), financial advisory services, potential company discretionary contribution, and a broad investment lineup
Tuition reimbursement up to $5,250/year
Business-casual environment that includes the option to wear jeans
Generous paid time off upon hire – including a paid time off program plus ten paid company holidays and three floating holidays each calendar year
Paid volunteer time — 16 hours per calendar year
Leave of absence programs – including paid parental leave, paid short- and long-term disability, and Family and Medical Leave (FMLA)
Business Resource Groups (BRGs) – BRGs facilitate inclusion and collaboration across our business internally and throughout the communities where we live, work and play. BRGs are open to all.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

data engineeringsoftware engineeringdata streaming platformsKafkaStriimCDCevent-driven architecturePythonSQLdistributed systems

Soft skills

leadershipcommunicationmentoringcollaborationinfluencingproblem-solvingteam managementexpectation settingcontinuous improvementescalation leadership