Data Engineering Manager

United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Biotechnology, Data Management, SecurityIndustries

Requirements

Candidates should have over 7 years of experience in data engineering, including at least 2 years in a team lead or management role with a proven track record in recruiting, developing, and mentoring high-performing teams. Experience with DevOps principles, monitoring, automation for data infrastructure, and deep knowledge of data modeling techniques and programming fundamentals (e.g., Python) are required. Hands-on expertise with SQL and modern data tools such as Snowflake, dbt, and Spark is necessary, along with experience designing and deploying scalable ETL/ELT pipelines and schema management solutions. Deep knowledge of AWS cloud ecosystems, networking/security, common IaC tools like Terraform, and building systems for scale are essential. The ability to provide architectural guidance, make trade-offs for critical decisions balancing engineering scalability with business vision, and a high degree of ownership and adaptability are also required.

Responsibilities

The Data Engineering Manager will lead, mentor, and grow a team of data engineers, fostering a collaborative and high-performing culture. They will translate high-level business goals into clear, prioritized execution plans, establishing a roadmap, allocating resources, and adapting project plans as needed for timely, high-quality delivery. This role involves balancing strategic direction with hands-on contributions to develop scalable and resilient data engineering solutions using modern cloud platforms and tools. Responsibilities include standardizing team operations, improving visibility with metrics and alerts, and collaborating with cross-functional teams like Product, Analytics, Security, and IT to ensure the delivery of high-quality data products. The manager will also ensure data quality, security, and governance standards across pipelines and platforms, and stay updated with emerging technologies and best practices to drive adoption of new tools or approaches.

Skills

Data Engineering

Data Pipelines

Data Stack

Analytics

Mentoring

Team Leadership

Project Planning

Resource Allocation

Cribl

Data observability solutions for tech businesses

About Cribl

Cribl operates in the data observability market, helping tech businesses monitor, analyze, and visualize their data for better operational and security insights. The company offers two main products: Cribl Stream and Cribl Edge. Cribl Stream enables businesses to efficiently route and transform logs and metrics, either on their own infrastructure or through cloud services, ensuring timely data delivery. Cribl Edge focuses on collecting and processing real-time observability data from edge devices, which can then be sent to Cribl Stream or other destinations. Cribl distinguishes itself by integrating seamlessly with platforms like Office 365 and Microsoft Azure, allowing clients to enhance their data management capabilities. The company's goal is to create effective data ecosystems that empower organizations to make sense of their data.

San Francisco, CaliforniaHeadquarters

2018Year Founded

$576.3MTotal Funding

SERIES_ECompany Stage

Data & Analytics, Enterprise SoftwareIndustries

501-1,000Employees