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Added 6 mins ago
Senior Software Engineer, Stablecoins
Coinbase
Pierre, SD
As a Senior Software Engineer on the Stablecoin team within the Developer group, you'll help build and scale Coinbase Custom Stablecoins (CCS), the platform that lets partners launch their…
Added 6 mins ago
Packet and Voice Engineer
Zayo
Pierre, SD
…thousands of buildings and data centers. Zayo’s communications infrastructure solutions include dark fiber, private data networks, wavelengths, Ethernet, and dedicated Internet access. Zayo…
Added 6 mins ago
PN
Data Scientist 3
Pacific Northwest National Laboratory
Pierre, SD
- $140,200 USD / year
…reliable, affordable, secure, and resilient electricity delivery infrastructure; research, development, validation, and effective utilization of renewable energy and efficiency technologies…
Added 6 mins ago
AT
Senior II Site Reliability Engineer
Akamai Technologies, Inc.
Pierre, SD
- $146,400 to $263,600 USD / year
Our team designs, develops, and manages applications and infrastructure that support Akamai's Compute products and services. We do this while maintaining Akamai's mission at the forefront…
Added 6 mins ago
AT
Senior II Site Reliability Engineer
Akamai Technologies, Inc.
Pierre, SD
- $146,400 to $263,600 USD / year
…for all of Akamai's bare-metal and VM hardware and software infrastructure platforms. CLP focuses on Compute's Linux kernels, operating systems, KVM/QEMU virtualization layer, guest images,…
Added 6 mins ago
Senior Cybersecurity Architect (Cloud)
Amentum
Pierre, SD
Design and implement security architectures for generative AI, machine learning, enterprise copilot, and agentic systems, including secure access, data protection, identity, logging,…
Added 6 mins ago
Cybersecurity Engineer (Cloud)
Amentum
Pierre, SD
Configure and test security policies, infrastructure-as-code controls, deployment automation, and supporting integrations in coordination with cloud platform and application owners.
Added 6 mins ago
Solutions Architect - Nutanix Database Service
Nutanix
Pierre, SD
Experience: 5+ years of experience in a customer-facing pre-sales technical role (Solutions Architect, Systems Engineer, or Database Specialist Architect) within an enterprise software,…
Added 6 mins ago
Engineer III, OverWatch Labs (Remote)
CrowdStrike
Pierre, SD
We are looking for an engineer who wants to help move the OWL platform forward as we scale even further. Someone with a broad range of computer skills throughout the software stack and…
Added 9 mins ago
Founding Forward Deployed Engineer (USA)
Pear VC
Palo Alto, CA
…We deploy directly inside clinics and hospitals - including systems with no APIs, using integration infrastructure we've built and open-sourced - and in return become their preferred…
Added 9 mins ago
Project Manager 2 - CC
Pike Corporation
Mansfield, MA
…Each of our employees plays a critical role in ensuring that infrastructure systems are up and running when people and businesses need…
Added 9 mins ago
Senior Electrical Engineer
Bristol Myers Squibb
Devens, MA
…reporting engineering team. The role is well suited for an engineer who wants to own systems through their full lifecycle, lead meaningful infrastructure investments, apply high-power and…
Added 10 mins ago
Civil/Structural Engineer
Leidos
Framingham, MA
Leidos Energy division is seeking a Senior Civil/Structural Engineer with strong design knowledge of power projects in civil, geotechnical, hydrological, and structural design…
Added 10 mins ago
FM
Sr. Principal Integration Engineer - Cloud Solutions
Fresenius Medical Care
Waltham, MA
- $137,000 to $229,000 USD / year
The Principal Azure Cloud Solutions Engineer serves as a senior technical authority responsible for designing, implementing, and improving secure, scalable, and resilient solutions on…
Added 10 mins ago
FM
Cybersecurity Architect
Fresenius Medical Care
Waltham, MA
- $137,000 to $229,000 USD / year
…security solutions and controls are in place throughout all IT systems and platforms to mitigate identified risks sufficiently, and to meet business objectives and regulatory…
Added 10 mins ago
Portfolio Engineer
Healthpeak Properties, Inc.
Cambridge, MA
…risk mitigation, and exceptional tenant service. The Portfolio Engineer also reviews tenant improvement, capital, infrastructure, and other construction plans from an engineering and…
Added 10 mins ago
Software Engineer (Secret) (4611)
SMX
Boston, MA
…the design and implementation of secure, scalable multi-cloud infrastructure, applications, and services in support of enterprise cloud migration and mission-critical systems for the United…
Added 10 mins ago
Cloud Systems Engineer (Secret) (4496)
SMX
Boston, MA
SMX is seeking Cloud Systems Engineers (Junior/Mid/Senior/SME) supporting the design and implementation of secure, scalable multi-cloud infrastructure, applications, and services in support…
Added 10 mins ago
Senior Software Engineer, Stablecoins
Coinbase
Boston, MA
As a Senior Software Engineer on the Stablecoin team within the Developer group, you'll help build and scale Coinbase Custom Stablecoins (CCS), the platform that lets partners launch their…
Added 10 mins ago
Lead Solution Architect with AI Experience
Deloitte
Boston, MA
…solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We…
Added 10 mins ago
Packet and Voice Engineer
Zayo
Boston, MA
…thousands of buildings and data centers. Zayo’s communications infrastructure solutions include dark fiber, private data networks, wavelengths, Ethernet, and dedicated Internet access. Zayo…
Added 10 mins ago
PN
Data Scientist 3
Pacific Northwest National Laboratory
Boston, MA
- $140,200 USD / year
…reliable, affordable, secure, and resilient electricity delivery infrastructure; research, development, validation, and effective utilization of renewable energy and efficiency technologies…
Added 10 mins ago
AT
Senior II Site Reliability Engineer
Akamai Technologies, Inc.
Boston, MA
- $146,400 to $263,600 USD / year
…for all of Akamai's bare-metal and VM hardware and software infrastructure platforms. CLP focuses on Compute's Linux kernels, operating systems, KVM/QEMU virtualization layer, guest images,…
Added 10 mins ago
AT
Senior II Site Reliability Engineer
Akamai Technologies, Inc.
Boston, MA
- $146,400 to $263,600 USD / year
Our team designs, develops, and manages applications and infrastructure that support Akamai's Compute products and services. We do this while maintaining Akamai's mission at the forefront…
Added 10 mins ago
C
Cybersecurity Engineer
CBRE
Boston, MA
- $95,000 to $100,000 USD / year
Assist with risk assessments and architectural reviews for secrets usage across infrastructure, applications, and third-party integrations, identifying misconfigurations or policy…

Jobgether

Senior Data Platform Engineer

Remote, United States

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Job details

Posting language: English
Posted: Nov 3, 2026

Original job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Platform Engineer based in the United States.

Join a growing technology team building the data foundation behind an AI-powered platform serving thousands of boutique fitness businesses. As the first Data Platform Engineer, you will take ownership of the infrastructure that collects, organizes, governs, and delivers trusted data across products and internal teams. You will help make reporting faster and more reliable while ensuring that business metrics remain consistent, traceable, and secure. Working closely with Data, Analytics, and R&D teams, you will shape the architecture supporting customer insights, operational intelligence, and AI-powered experiences. You will also establish the foundations that allow employees and AI agents to access reliable information independently and responsibly. This is an opportunity to define a critical platform from the ground up and influence how data creates value across an expanding SaaS ecosystem.

Accountabilities

You will own the design, development, and continuous improvement of the data platform, ensuring that it delivers accurate, accessible, secure, and cost-effective information for both people and AI-driven applications.

Data Platform Reliability and Performance

• Build and maintain the data infrastructure supporting reporting and data-driven products used by more than 5,000 gyms.

• Ensure reporting data is fresh, accurate, and performant, enabling gym owners to make timely business decisions.

• Establish data lineage and traceability so that key business metrics, including executive and Board-level reporting, can be tracked back to their sources.

• Define and monitor data freshness, availability, and reliability standards.

• Participate in incident response, investigate root causes, and implement improvements to prevent recurring issues.

Data Integration and Architecture

• Integrate product, payment, and third-party data to create a comprehensive view of customer and member journeys.

• Partner with software engineering teams to ensure new features and integrations generate clean, structured, and reliable data from the outset.

• Establish data contracts and identify breaking changes before they reach production.

• Simplify data architecture by reducing unnecessary pipelines and tools, clarifying ownership, and improving cost visibility.

• Manage and optimize ingestion workflows, orchestration systems, and custom data pipelines.

Privacy, Security, and Governance

• Design and implement data access controls that define what employees and AI agents can access.

• Maintain comprehensive audit trails for data access and usage.

• Establish safeguards that prevent AI systems from modifying or bypassing critical security and governance controls.

• Implement processes for handling privacy requests, including data retention and deletion, without compromising financial reporting or audit requirements.

• Support compliance with applicable privacy and security frameworks.

AI-Ready Data Infrastructure

• Build the data foundations required by AI-powered assistants, customer intelligence features, and reporting tools.

• Provide AI applications with the context and reliable information needed to generate relevant, personalized insights.

• Develop clear, consistent business definitions and semantic layers so that metrics have the same meaning across dashboards, conversational interfaces, and executive reporting.

• Enable teams across the organization to answer their own questions through AI, with appropriate controls over access, usage, and costs.

• Explore retrieval, evaluation, and governed data-access approaches that make AI agents more reliable and useful.

Documentation and Continuous Improvement

• Develop and maintain technical documentation, operational runbooks, data quality checks, and monitoring alerts.

• Establish processes that make platform operations understandable and manageable by other team members.

• Share architectural decisions and technical tradeoffs clearly with engineering and business stakeholders.

Requirements

The ideal candidate is a hands-on data infrastructure engineer who has owned production systems end to end and can combine strong engineering fundamentals with a practical understanding of data governance, reliability, and AI-enabled workflows.

Technical Experience

• At least 5 years of experience in data engineering, data platform engineering, data infrastructure, or software engineering, with ownership of production infrastructure from design through operation.

• Experience working in a B2B SaaS or payments environment is preferred.

• Strong experience with cloud data warehouses, including performance optimization, cost management, access controls, role-based access control (RBAC), data masking, and schema design.

• Advanced proficiency in Python and SQL, supported by strong software engineering practices.

• Experience with automated testing, CI/CD, code reviews, and Infrastructure as Code tools such as Terraform.

• Hands-on experience deploying, maintaining, and operating workflow orchestration platforms such as Airflow or Dagster in production.

• Experience managing data ingestion tools such as Hevo or Fivetran, as well as building custom pipelines when managed solutions are insufficient.

• Practical experience with at least one of the following: change data capture (CDC), streaming, or event-driven architectures.

• Experience implementing data quality checks, monitoring, and alerting using tools such as Monte Carlo, Elementary, or custom-built solutions.

• Ability to create operational runbooks that enable others to investigate and resolve data issues.

• Daily use of AI tools, including at least one AI-powered workflow used by others and a validation mechanism to detect inaccurate outputs.

Additional Technical Knowledge

• Familiarity with real-time analytics databases such as ClickHouse and an understanding of when to use them instead of a traditional data warehouse.

• Knowledge of privacy and governance requirements under GDPR, CCPA, or PCI, including access management, auditing, retention, and deletion.

• Experience working with TypeScript codebases and collaborating with product engineers responsible for generating data.

• Interest or experience in data architecture for AI, including semantic layers, retrieval, evaluations, and governed access for AI agents.

• Understanding of data contracts and collaboration practices between data producers and platform teams.

• Familiarity with event platforms or customer data platforms such as Segment, RudderStack, Snowplow, or PostHog.

• Knowledge of identity resolution across product, billing, and CRM data.

Professional Skills

• Genuine curiosity about the customers and end users represented by the data.

• Strong problem-solving skills and the ability to investigate upstream causes of data inconsistencies.

• Clear communication skills, including the ability to explain technical tradeoffs in accessible terms.

• Pragmatic decision-making and the confidence to identify limitations, explain risks, and recommend when a solution is not yet ready.

• A proactive approach to continuous improvement, with an emphasis on documentation, monitoring, and operational reliability.

• Ability to work collaboratively across Data, Analytics, Product, and Engineering teams.

Benefits

• Equity Incentive Plan.

• Flexible paid time off and public holidays.

• Healthcare coverage, including medical, dental, and vision plans.

• Company-sponsored 401(k) retirement plan with employer match.

• Life insurance.

• Family leave, including maternity and paternity leave.

• Work-from-home stipend.

• Wellness stipend.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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