Senior Data Architect jobs in United States
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Fervo Energy · 2 days ago

Senior Data Architect

positionHouston,TX,US
timeFull-time
remoteHybrid
senioritySenior Level, Lead/Staff
money$143K/yr - $200K/yr
date8+ years exp

Fervo Energy is seeking a Senior Data Architect to design, build, and scale the company’s industrial data platform. This role will be responsible for integrating subsurface sensors, IoT systems, and facilities and power plant historian data into a unified, analytics-ready platform, while also establishing standards and growing a team of engineers.

EnergyEnergy EfficiencyEnergy ManagementNuclearRenewable Energy
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H1B Sponsor Likelynote

Responsibilities

Serve as the hands-on technical lead to design, build, and own the first production implementation of Fervo’s industrial data platform
Architect the end-to-end industrial data platform, including ingestion, storage, processing, and access layers
Design and implement ingestion pipelines from industrial systems such as SCADA, DCS, historian platforms, IoT and edge devices, and subsurface monitoring systems
Build and maintain scalable data models and schemas to support high-frequency time-series data, asset and sensor metadata, events, states, and derived metrics
Define, implement, and evolve canonical / common data models across industrial domains including assets, wells, facilities, equipment, sensors, and measurements
Develop transformation logic for unit normalization and conversion, interpolation and resampling, time-based aggregations, and data quality validation
Optimize data storage, query performance, reliability, and cost for large-scale industrial and time-series workloads
Evaluate, select, and evolve platforms and technologies (e.g., Snowflake or similar cloud data platforms, streaming and ingestion frameworks, time-series processing tools) to meet scalability, reliability, and engineering requirements
Define strategies for ingesting, modeling, and governing unstructured and semi-structured data (e.g., documents, logs, engineering records) and linking them to asset and operational context
Own and define the technical roadmap for scaling the industrial data platform as Fervo’s assets, use cases, and data volumes grow
Demonstrate strong technical ownership and accountability for the reliability, scalability, and correctness of the industrial data platform
Partner closely with engineering, subsurface, operations, and analytics teams to ensure data products meet real-world operational and business needs
Lead by example as a hands-on builder while evolving into a technical leadership and mentorship role as the team grows
Mentor and onboard data and platform engineers, establishing best practices in architecture, data modeling, and code quality
Contribute to a culture of high engineering standards, continuous improvement, and pragmatic decision-making in an early-stage, fast-moving environment

Qualification

Industrial data architectureCloud-based data platformsTime-series data modelingData ingestion pipelinesSQLPythonCanonical data modelsData quality validationTechnical ownershipMentorshipCollaborationProblem-solving

Required

B.S. in Computer Science, Engineering, or a related technical field (or equivalent practical experience)
8+ years of experience designing and building industrial, IoT, or time-series data platforms
Hands-on experience integrating data from industrial systems including SCADA, DCS, and historian platforms
Experience working with industrial and IoT protocols such as OPC-UA, MQTT, or vendor-specific APIs
Demonstrated experience defining and implementing canonical / common data models for complex technical domains
Strong experience architecting cloud-based data platforms (e.g., Snowflake, Databricks, BigQuery, Redshift, or similar)
Deep understanding of time-series data modeling and analytics, including aggregation, interpolation, and performance optimization
Proficiency in SQL and Python (or equivalent data engineering languages)
Comfort operating in an early-stage or evolving environment and making foundational technical decisions with limited precedent
Experience designing and working with structured data systems (RDBMS, dimensional models, enterprise data warehouses)
Experience contributing to data strategies for unstructured or semi-structured data (e.g., documents, logs, object storage, metadata indexing)

Preferred

Background in energy, geothermal, oil & gas, power generation, or other industrial infrastructure domains preferred

Benefits

Medical
Dental
Vision
Life
Short-term and long-term disability
Flexible paid time off
Paid parental leave
Incentive stock options program
Bonus incentive program
401(k) plan with an employer match

Company

Fervo Energy

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Fervo Energy develops and operates clean energy technology to generate carbon-free energy from geothermal systems.
dateFounded in 2017
location
Houston, Texas, USA
people-size51-200 employees
web-link
https://www.fervoenergy.com

H1B Sponsorship

Fervo Energy has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)

Funding

Current Stage
Late Stage
Total Funding
$1.45B
Key Investors
B CapitalBreakthrough Energy VenturesMercuria
2025-12-10Series E· $462M
2025-06-11Series Unknown· $100M
2025-06-11Debt Financing· $105.6M

Leadership Team

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Tim Latimer
Chief Executive Officer
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J
Jack Norbeck
Co-Founder and CTO
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