Confluent

Engineering Manager II - Stream Governance

United States

$279,900 – $328,900Compensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Data Streaming, Cloud Computing, Software DevelopmentIndustries

Engineering Manager, Stream Governance

Salary: $279.9K - $328.9K Location Type: Remote Employment Type: FullTime


Position Overview

Confluent is revolutionizing how data moves and what the world can do with it. Our platform enables data to stream in near real-time, empowering companies to react faster, build smarter, and deliver dynamic experiences. We are seeking an engineering leader to manage a high-performing team responsible for building, maintaining, and scaling Confluent Stream Catalog and Confluent Stream Sharing products. These are critical components of Confluent’s Stream Governance offering, enabling efficient management and governance of streaming data. The team also owns the Stream Catalog GraphQL API, Data Portal, and Stream Lineage products, facilitating data discovery, tracking, and sharing. Governance is a rapidly growing area at Confluent, offering significant opportunities for innovation and technical leadership.


About the Role

As an Engineering Manager, you will guide the team's strategy, ensure high-quality product execution, and foster a collaborative environment focused on technical excellence and business impact. You will be instrumental in shaping the future of our Stream Governance products.


Responsibilities

  • Strategic Leadership: Lead the strategic vision, roadmap, and execution for Confluent Stream Catalog, Stream Sharing, and related governance products, ensuring alignment with business objectives.
  • Product Collaboration: Collaborate closely with product management, design, and other engineering teams to define product requirements, technical strategy, and architectural direction.
  • Development & Scaling: Drive the development of cloud-native, highly scalable, multi-tenant services that meet the demanding needs of Confluent’s customers.
  • Best Practices: Establish and enforce best practices in data governance, security, and operational excellence for our core governance products.
  • Team Management & Mentorship: Manage and mentor a team of engineers, providing technical leadership, career development, and performance management.
  • Engineering Excellence: Champion engineering excellence, fostering a culture of high-quality software development, effective testing, and operational reliability.
  • Stakeholder Engagement: Partner with stakeholders across Confluent to drive adoption and growth of governance products by continuously improving their capabilities and usability.
  • Operational Performance: Monitor and optimize the stability, performance, and efficiency of governance services operating in AWS, GCP, and Azure.
  • Platform Integration: Influence and contribute to broader Confluent engineering initiatives, ensuring governance services integrate seamlessly with the Data Streaming Platform.

Requirements

  • Experience: 10+ years of experience in software development, with at least 2 years in an engineering management role.
  • Technical Expertise:
    • Expertise in distributed systems, cloud-native architectures, and data governance technologies.
    • Experience in designing, building, and scaling large-scale, real-time data systems.
    • Deep knowledge of metadata management and data lineage concepts.
    • Experience running production services in the cloud, ensuring high availability and reliability.
  • Leadership Skills:
    • Proven track record of leading engineering teams in fast-paced, high-growth environments.
    • Ability to influence and collaborate effectively across engineering, product, and business teams.
    • Strong technical vision and execution skills, with a focus on prioritization, efficiency, and results-driven leadership.
    • Ability to hire while ensuring a high hiring bar, motivate engineers, coach/mentor, and manage performance.
    • An excellent track record of timely shipping features, a sense of urgency, an aggressive mindset toward achieving results, and excellent prioritization skills.
  • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent.

About Confluent

We’re not just building better tech. We’re rewriting how data moves and what the world can do with it. With Confluent, data doesn’t sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform.

Skills

Engineering Management
Product Strategy
Roadmap Execution
Cloud-Native Development
GraphQL API
Data Governance
Stream Catalog
Stream Sharing
Stream Lineage
Technical Leadership
Product Management Collaboration
Design Collaboration

Confluent

Data streaming solutions for real-time processing

About Confluent

Confluent specializes in data streaming solutions, focusing on helping businesses manage and process real-time data streams. Its main product is built on Apache Kafka, an open-source platform that allows users to create real-time data pipelines and streaming applications. Clients, including large enterprises and financial institutions, utilize Confluent's tools to collect, process, and analyze data streams, which helps them make quicker and more informed decisions. Unlike many competitors, Confluent offers a subscription-based model for its cloud platform, Confluent Cloud, and its on-premises software, Confluent Platform, ensuring a steady revenue stream. The company also provides professional services like training and consulting to assist clients in optimizing their data streaming solutions. Confluent's goal is to be a leader in the data streaming market, enabling organizations to leverage real-time data for improved operational efficiency.

Mountain View, CaliforniaHeadquarters
2014Year Founded
$443.5MTotal Funding
IPOCompany Stage
Data & Analytics, Enterprise SoftwareIndustries
1,001-5,000Employees

Benefits

Best Teammates on Planet Earth - Loving your job has a lot to do with the people around you. Luckily at Confluent, you will find some of the most genuine people who make you excited to come to work each day.
Adjustable Working Arrangements - While most of our employees work typical business hours, we encourage everyone to partner with their manager to make a schedule that works best for them and Confluent.
Robust Benefits - Health and wellness is important and Confluent is proud to offer a total benefits program that ranks in the top percentile of companies similar in size to our industry in our established geographies.
Rest and Recharge Days - Personal time off is great but it is even better when your whole team has the day. Each quarter, teams have three recharge days where the entire team logs off and refreshes before coming back to work.
Weekly Lunch Spend - At Confluent, we have a weekly lunch program called “No Pay Thursday.” On Thursdays, lunch is provided by Confluent at local restaurants and grocery stores, taxes may apply for some countries.
Flexible Paid Time Off (PTO) - Confluent employees work really hard to meet the needs of our growing and scaling business. To make sure that we don’t burn out, we encourage everyone to balance their PTO in an adequate way.

Risks

CTO Chad Verbowski's retirement may lead to a temporary leadership vacuum.
WarpStream acquisition may present integration challenges, disrupting operations.
Participation in MongoDB AI Program exposes Confluent to competitive pressures.

Differentiation

Confluent's platform is based on Apache Kafka, a leading open-source data streaming technology.
The company offers a subscription-based model, ensuring steady recurring revenue streams.
Confluent's solutions cater to diverse industries, enhancing real-time data processing capabilities.

Upsides

Increased adoption of Apache Flink complements Confluent's existing Apache Kafka-based solutions.
Integration with MongoDB's AI Applications Program enhances AI-driven data processing capabilities.
The OEM Program launch can drive new partnerships and expand market presence.

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