ZipRecruiter

Log In

1

Senior Data Platform Engineer Jobs (NOW HIRING)

Monaco

Senior Data Platform Engineer

San Francisco, CA · On-site

$124K - $169K/yr

We're looking for a Senior Data Platform Engineer to help build Monaco's data and ML platform - the pipelines, context systems, and infrastructure that power our AI-driven product. You'll work on the ...

UDR Inc

Senior Data Platform Engineer

Littleton, CO · Remote

$130K - $170K/yr

UDR, Inc. is now hiring a Senior Data Platform Engineer to join our team. **This is a remote based position.** GENERAL SUMMARY OF DUTIES: Design, build, and maintain UDR's enterprise data platform in ...

UDR

Senior Data Platform Engineer

Highlands Ranch, CO · Remote

$130K - $170K/yr

UDR, Inc. is now hiring a Senior Data Platform Engineer to join our team. **This is a remote based position.** GENERAL SUMMARY OF DUTIES: Design, build, and maintain UDR's enterprise data platform in ...

UDR, Inc.

Senior Data Platform Engineer

Highlands Ranch, CO · Remote

$130K - $170K/yr

Description UDR, Inc. is now hiring a Senior Data Platform Engineer to join our team. **This is a remote based position.** GENERAL SUMMARY OF DUTIES: Design, build, and maintain UDR's enterprise data ...

UDR

Senior Data Platform Engineer

Highlands Ranch, CO · On-site

$130K - $170K/yr

UDR, Inc. is now hiring a Senior Data Platform Engineer to join our team. **This is a remote based position.** GENERAL SUMMARY OF DUTIES: Design, build, and maintain UDR's enterprise data platform in ...

DocuSign

Sr. Data Platform Engineer

San Francisco, CA · On-site +1

$134K - $161K/yr

... AI Platform Engineer will design, build, and operate our nextgeneration data and AI platform, enabling highquality analytics, data science, and AI/ML capabilities at scale. Reporting to the Sr. ...

next page

Showing results 1-20

All JobsSenior Data Platform Engineer Jobs

Senior Data Platform Engineer information

See salary details

$81K

$126.3K

$175K

How much do senior data platform engineer jobs pay per year?

As of Jun 21, 2026, the average yearly pay for senior data platform engineer in the United States is $126,328.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $144,000.00 per year, depending on experience, location, and employer.

How does a Senior Data Platform Engineer typically collaborate with data scientists and analysts within an organization?

A Senior Data Platform Engineer works closely with data scientists and analysts to understand their data needs and ensure the platform supports efficient data access, processing, and analysis. This often involves designing and implementing data pipelines, optimizing data storage solutions, and ensuring data quality and integrity. Regular communication is essential to align on data requirements, troubleshoot issues, and roll out new platform features that enhance analytical capabilities. Collaboration frequently occurs through agile ceremonies, project meetings, and shared documentation to ensure all stakeholders are aligned and productive.

What are the key skills and qualifications needed to thrive as a Senior Data Platform Engineer, and why are they important?

To thrive as a Senior Data Platform Engineer, you need deep expertise in data architecture, database management, ETL design, and programming languages like Python or Java, typically supported by a bachelor's degree in computer science or related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Spark or Hadoop), and certifications in relevant technologies are commonly required. Strong problem-solving, collaboration, and communication skills set top performers apart in this role. These competencies are essential for building robust, scalable data systems that support business intelligence and data-driven decision-making.

What does a Senior Data Platform Engineer do?

A Senior Data Platform Engineer is responsible for designing, building, and maintaining large-scale data platforms that support an organization's data analytics and processing needs. They work with various technologies to ensure data is collected, stored, and accessible efficiently and securely. Their role often involves optimizing data pipelines, managing databases, ensuring data quality, and collaborating with data scientists and analysts to deliver reliable data solutions. In addition, they help set best practices and mentor junior engineers on the team.

What is the difference between Senior Data Platform Engineer vs Data Engineer?

AspectSenior Data Platform EngineerData Engineer
CredentialsBachelor's/Master's in CS, Data Science, or related; often certifications in cloud platformsBachelor's in CS, Software Engineering, or related; certifications in data tools are common
Work EnvironmentDesigning, building, and maintaining large-scale data platforms; working with cloud servicesDeveloping data pipelines, ETL processes, and data storage solutions
Industry UsageUsed across tech, finance, healthcare, and retail for managing data infrastructureCommonly employed in similar industries for data processing and integration

The Senior Data Platform Engineer focuses on designing and maintaining scalable data platforms, often with cloud expertise, while Data Engineers primarily develop data pipelines and ETL processes. Both roles require strong technical skills and are vital in data-driven organizations, but the Senior Data Platform Engineer typically has a broader scope and more strategic responsibilities.

What cities are hiring for Senior Data Platform Engineer jobs? Cities with the most Senior Data Platform Engineer job openings:
What are the most commonly searched types of Data Platform Engineer jobs? The most popular types of Data Platform Engineer jobs are:
What states have the most Senior Data Platform Engineer jobs? States with the most job openings for Senior Data Platform Engineer jobs include:
Senior Data Platform Engineer jobs near you

Senior Data Platform Engineer

Monaco

San Francisco, CA • On-site

$124K - $169K/yr

Full-time

Posted 29 days ago

Job description

Monaco is building an AI-native revenue platform that replaces the fragmented GTM stack (CRM, sequencing, call recording, enrichment, pipeline management) with one unified system. We're consolidating 6-10 disconnected tools into a single, purpose-built platform and redefining what's possible when all the data lives under one roof in the age of AI - this is a category-defining shift, not an incremental improvement.
We launched publicly in Feb 2026 and are 50 people and growing. We have strong early product-market fit, creating millions in ARR in only a few months post-launch. Opportunities exist in both scaling core systems and workflows, and building new cutting edge features from 0 to 1.
We've raised $85M through our Series B from legendary investors including Founders Fund, Benchmark, and Human Capital. Our founders are industry veterans who previously led companies like Brex, Apollo, and Clari.
Come join us if you want to be part of a high autonomy, high pace team reinventing one of the biggest categories in enterprise software.
We're looking for a Senior Data Platform Engineer to help build Monaco's data and ML platform - the pipelines, context systems, and infrastructure that power our AI-driven product. You'll work on the foundation that makes models, agents, and workflows actually useful in production.
This is a high-ownership role at the intersection of data engineering, distributed systems, and applied AI.
What you'll do:
  • Build scalable pipelines and event-driven systems for ingesting, transforming, and serving data.
  • Support ML workflows: training data, evaluation, embeddings, feature pipelines.
  • Solve distributed systems challenges around reliability, latency, consistency, and scale.
  • Improve observability, tooling, and developer experience for data, ML, and agent systems.

What we're looking for:
  • 5+ years building data platforms, ML infrastructure, or backend systems.
  • Deep experience in technologies like PostgreSQL, Redis, Celery, Temporal, ElasticSearch or Turbopuffer, Kafka, Spark, Databricks or Snowflake, etc.
  • Ability to lead major architecture decisions and execute on them fast, maintain and scale production systems through rapid workload growth.

Location:
  • San Francisco. We're an in-person team - 5 days in the office. At this stage, proximity genuinely accelerates product quality and team cohesion.

Apply