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Data Infrastructure Manager Jobs in California (NOW HIRING)

About the Role This role sits at the intersection of robotics and data infrastructure at a well ... Experience with time-series databases and telemetry data management in a robotics context. * Strong ...

MDAEdge is a company focused on IT solutions, and they are seeking an IT Infrastructure Manager to ... data security protocols, and disaster recovery plans. โ€ข Collaborate with Sr. Director of ...

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Data Infrastructure Manager information

What is a data infrastructure manager?

Data Infrastructure Managers are professionals responsible for overseeing the design, implementation, and maintenance of an organization's data systems and architecture. They ensure that data storage, processing, and retrieval systems are efficient, secure, and scalable to meet business needs. Their role typically involves managing a team of data engineers, collaborating with IT and business units, and setting strategies for data governance and compliance. Data Infrastructure Managers play a critical role in enabling reliable data analytics and business intelligence by maintaining robust data pipelines and platforms.

What are the key skills and qualifications needed to thrive as a data infrastructure manager?

To thrive as a Data Infrastructure Manager, you need expertise in data architecture, storage solutions, and database administration, typically backed by a degree in computer science or a related field. Familiarity with tools like SQL, Hadoop, cloud platforms (AWS, Azure, or Google Cloud), and certifications such as AWS Certified Solutions Architect are highly valuable. Strong leadership, problem-solving, and communication skills help you effectively manage teams and collaborate with stakeholders. These skills and qualities ensure reliable, scalable data systems that support organizational goals and data-driven decision making.

What are some common challenges faced by data infrastructure managers, and how can they be addressed?

Data Infrastructure Managers often encounter challenges such as scaling systems to handle increasing data volumes, ensuring high availability, and integrating new technologies with legacy systems. Addressing these issues typically involves proactive capacity planning, implementing robust monitoring and alerting tools, and fostering cross-functional collaboration with data engineering and IT security teams. Staying up-to-date with industry best practices and investing in staff training can also help mitigate these challenges and ensure reliable, scalable infrastructure.

What is the difference between Data Infrastructure Manager vs Data Engineer?

AspectData Infrastructure ManagerData Engineer
Primary FocusOversees data systems, infrastructure, and architecture managementBuilds, develops, and maintains data pipelines and models
Required SkillsData architecture, leadership, project managementProgramming, ETL processes, database management
CertificationsCloud certifications, data management certificationsSQL, Python, cloud platform certifications
Work EnvironmentManagement, strategic planning, cross-team collaborationHands-on coding, data pipeline development

The Data Infrastructure Manager focuses on overseeing and managing the company's data systems and architecture, ensuring data availability and security. In contrast, Data Engineers are primarily responsible for designing and building the data pipelines and tools needed for data analysis. Both roles require technical skills and certifications, but the Manager role emphasizes leadership and strategic oversight, while the Engineer role is more technical and implementation-focused.

What are the most commonly searched types of Data Infrastructure jobs in California?

The most popular types of Data Infrastructure jobs in California are:

What are popular job titles related to Data Infrastructure Manager jobs in California?

For Data Infrastructure Manager jobs in California, the most frequently searched job titles are:

What job categories do people searching Data Infrastructure Manager jobs in California look for?

The top searched job categories for Data Infrastructure Manager jobs in California are:

What cities in California are hiring for Data Infrastructure Manager jobs?

Cities in California with the most Data Infrastructure Manager job openings:

Infographic showing various Data Infrastructure Manager job openings in California as of August 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution.

Staff Data Engineer - Data Infrastructure

Triwill Group

San Francisco, CA โ€ข On-site

$279 - $310/hr

Other

Posted yesterday

New


Job description

Description

Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but thereโ€™s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games.

Discord is looking for a seasoned technical leader to join our Data team as a Staff Data Engineer. You will drive technical vision and strategy for our analytical data infrastructure which facilitates the transformation and semantic layer that powers clean, tested, well-documented datasets that the company can trust and self-serve from. The data your team builds won't just inform internal decisions, it will underpin the metrics we share with investors, partners, and the public, requiring exceptional rigor, auditability, and precision. This role works closely with Data Governance, Data Science, Product, Finance, and Engineering teams. This role reports to the Director of Data Engineering.

What You'll Be Doing
  • Define technical strategy and architectural direction for analytics data infrastructure, building and maintaining enterprise-scale curated datasets and data models
  • Own the design and implementation of data governance programs end to end, by partnering with stakeholders and translating policy requirements into flexible and configurable infrastructure in partnership with Data Platform Engineering.
  • Design and build sophisticated data abstractions and analytical frameworks using SQL, Python, and modern data stack technologies
  • Develop data quality frameworks, monitoring, anomaly detection, and alerting at massive scale, with governance, lineage tracking, and change management rigor appropriate for externally reported numbers
  • Drive adoption of consistent data modeling patterns, naming conventions, documentation norms, and metric governance standards across the data organization
  • Lead cross-functional technical initiatives across product verticals and mentor engineers to accelerate delivery and harden data systems
  • Navigate ambiguity and make sound technical decisions with incomplete information, balancing short-term delivery with long-term infrastructure investment
What You Should Have
  • 7+ years of experience in data and software engineering with a strong focus on building curated, consumer-facing datasets
  • 7+ years of experience in designing, developing, and maintaining data infrastructure used by data teams at scale.
  • Expert-level SQL and strong Python skills, with solid fundamentals in version control and CI/CD
  • Proven experience implementing data quality audits, monitoring systems, and automated remediation for massive datasets
  • Strong business acumen and communication skills, comfortable translating ambiguous business questions into concrete metric definitions and explaining complex implementations to audiences from engineering peers to executive leadership
  • Track record of handsโ€‘on collaboration with Data Science, Finance, and Product teams
Bonus Points
  • Passion for Discord or online communities
  • Experience building or contributing to a semantic layer or metrics store
  • Experience with modern analytics and data engineering tools and workflows (dbt, BigQuery, or similar)
  • Experience defining and governing metric standards across a data organization
  • Experience with reporting infrastructure subject to external audit or SOX compliance

The US base salary range for this full-time position is $279,000 to $310,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.

Why Discord?

Discord plays a uniquely important role in the future of gaming. We're a multiplatform, multigenerational and multiplayer platform that helps people deepen their friendships around games and shared interests, and helps developers build and grow their businesses. We believe games give us a way to have fun with our favorite people, whether listening to music together or grinding in competitive matches for diamond rank. Join us in our mission! Your future is just a click away!

Discord is committed to inclusion and providing reasonable accommodations during the interview process. We want you to feel set up for success, so if you are in need of reasonable accommodations, please let your recruiter know.

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