Jobs in the United States

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Added 1 min ago
Systems Integration & Test Engineer
Leidos
Gaithersburg, MD
Leidos is seeking an Test Engineer (Level 2) to join a dynamic team supporting the SkyLine-X KN-2 program. This position supports the verification, validation, and qualification of advanced…
Added 2 mins ago
C
GCP data Engineer
Cognizant
Annapolis, MD
- $100,000 to $120,000 USD / year
Deliver curated and well-profiled datasets supporting machine learning and entity-resolution initiatives.
Added 2 mins ago
Applied AI Health System Engineer [Health Services-Provider] – Senior Manager
PwC
Baltimore, MD
What You Must Have
Added 16 mins ago
KC
Customer Engagement Applications Engineer
KLA Corporation
Chandler, AZ
- $78,200 to $132,900 USD / year
…tackling complex challenges. From electron and photon optics to machine learning and data analytics, we seek perfection at the most fundamental level of matter in the universe. If you want…
Added 24 mins ago
AE
Campus Undergraduate Summer Internship Program - 2027 Cybersecurity AI Engineer, Enterprise Technology Services- Phoenix, AZ
American Express
Phoenix, AZ
- $24.05 to $63 USD / hour
In this role, you may support work across machine learning, generative AI, intelligent automation, data pipelines, retrieval patterns, model evaluation, AI agents, agentic workflows, or…
Added 1 hour ago
Data Engineer Role
OpenDataJobs
Remote, United States
You collaborate well with source-system owners, software engineers, analysts, data scientists, AI Engineers, Machine Learning Engineers, security and governance specialists, and…
Added 1 hour ago
AI Engineer Role
OpenDataJobs
Remote, United States
…with domain experts, users, data engineers, data scientists, Machine Learning Engineers, security specialists, governance teams, and operations teams. You know when to build, when to…
Added 1 hour ago
Data Scientist Role
OpenDataJobs
Remote, United States
…can support the question, select appropriate statistical or machine learning methods, and explain what the results do and do not…
Added 1 hour ago
Machine Learning Engineer Role
OpenDataJobs
Remote, United States
Click Apply below to register for Machine Learning Engineer Role.
Added 1 hour ago
Senior Software Engineer, Video Analytics
Zipdev
Remote, United States
Our client is looking for a hands-on Senior Backend Engineer with experience building and shipping machine learning or computer vision systems into real-world production environments. This…
Added 1 hour ago
Founding AI Platform Engineer
Zipdev
Remote, United States
Experience: 5–10 years of professional experience as a software, backend, machine learning, or applied AI engineer.
Added 1 hour ago
Staff Data Engineer, Applied Data Science III
Jobgether
Remote, United States
The Staff Data Engineer will support the development of advanced data engineering and applied data science solutions for clients across the utility and energy sectors. This hands-on role…
Added 1 hour ago
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Director, AI Security
Jobgether
Remote, United States
- $154,000 to $265,650 USD / year
Strong understanding of AI and machine learning lifecycles, large language models, retrieval-augmented generation (RAG), model APIs, and agent tool integrations, including their associated…
Added 1 hour ago
KC
Customer Engagement Applications Engineer
KLA Corporation
Chandler, AZ
- $78,200 to $132,900 USD / year
…tackling complex challenges. From electron and photon optics to machine learning and data analytics, we seek perfection at the most fundamental level of matter in the universe. If you want…
Added 1 hour ago
Vice President of Sales, Americas
OnLogic
South Burlington, VT
A relationship builder who is well connected across the edge computing ecosystem: OEMs and machine builders, system integrators and ISVs.
Added 1 hour ago
Vice President of Sales, Americas
OnLogic
Cary, NC
A relationship builder who is well connected across the edge computing ecosystem: OEMs and machine builders, system integrators and ISVs.
Added 1 hour ago
J
Staff Talent Operations Engineer
Jobgether
Remote, United States
- $135,000 to $180,000 USD / year
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Talent Operations Engineer based in the United States.
Added 1 hour ago
Solution Architect, Delivery (Databricks)
Jobgether
Remote, United States
Databricks Certification: Databricks Certified Data Engineer Professional or Databricks Certified Machine Learning Professional certification.
Added 1 hour ago
Senior Robotics Software Engineer
Komatsu America Corp.
Warrendale, PA
Added 1 hour ago
Advanced NDT Engineer IV
Carpenter Technology Corp.
Reading, PA
…manufacturing. Principal Purpose of Position: A technically curious engineer who enjoys experimentation, data analysis, and solving difficult detection challenges. The ideal candidate is…
Added 1 hour ago
Senior Staff Software Engineer, Generative Retail Ad Formats and LLM Applications
Google
Mountain View, CA
Experience in successfully applying GenAI and machine learning approaches to real-world content problems.
Added 1 hour ago
Software Engineer, Agentic Model Serving, Robotics, DeepMind
DeepMind
Mountain View, CA
Experience with machine learning frameworks, particularly JAX or TensorFlow, on inference and serving.
Added 1 hour ago
Senior Data Scientist
One Park Financial
Remote, United States
Utilize advanced statistical and machine learning techniques to analyze large datasets and build new AI/ML models.
Added 1 hour ago
Senior Data Scientist
One Park Financial
Remote, United States
Utilize advanced statistical and machine learning techniques to analyze large datasets and build new AI/ML models.
Added 1 hour ago
Senior Data Scientist
One Park Financial
Remote, United States
Utilize advanced statistical and machine learning techniques to analyze large datasets and build new AI/ML models.

Jobgether

Solution Architect, Delivery (Databricks)

Remote, United States

Apply on jobs.lever.co About employer

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Job details

Posting language: English

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 Solution Architect, Delivery (Databricks) based in the United States.

As a Solution Architect, Delivery, you will provide strategic technical leadership in designing and delivering complex, enterprise-scale data platforms and Lakehouse solutions. You will lead end-to-end architecture initiatives built around the Databricks Data Intelligence Platform, translating business objectives and executive vision into scalable, production-ready technical solutions. Working across multi-cloud environments, you will oversee data engineering, platform modernization, governance, security, and performance optimization. You will collaborate with client executives, enterprise architects, engineering teams, and technology partners to drive successful implementations and complex data migrations. This role combines hands-on technical expertise with architectural ownership, team leadership, and client advisory responsibilities. You will also contribute to innovation by integrating advanced analytics, machine learning, and AI capabilities into modern data ecosystems.

Accountabilities:

Enterprise Architecture and Solution Design: Lead the architecture and design of scalable, production-ready Lakehouse solutions using the Databricks Data Intelligence Platform, including Medallion Architecture (Bronze, Silver, and Gold layers), Delta Lake, and Databricks SQL.
Data Governance and Security: Design and implement enterprise-wide governance and security frameworks using Unity Catalog, row- and column-level access controls, data masking, attribute-based access control (ABAC), and Delta Sharing.
Platform Modernization and Migration: Define and lead technical strategies for migrating legacy enterprise data warehouses and Hadoop environments, including Teradata, Netezza, Snowflake, and Cloudera, to Databricks-based architectures.
Data Ingestion and Processing: Establish scalable patterns for batch and real-time data processing using Structured Streaming, Delta Live Tables (DLT), Auto Loader, and Apache Spark optimization techniques.
Technical Leadership and Quality Assurance: Guide engineering teams through complex delivery initiatives, establish reference architectures, conduct architectural reviews, review code contributions, and implement standardized CI/CD practices using GitHub Actions, GitLab, Azure DevOps, Terraform, and Databricks Asset Bundles (DABs).
Performance Optimization: Identify and resolve complex Spark and Delta Lake performance challenges by optimizing query execution, partitioning, Z-Ordering, caching, and Photon configurations.
Cloud Cost Management: Establish FinOps practices and compute governance standards, including cluster policies, autoscaling, auto-termination, serverless configurations, and cost allocation models to optimize Databricks consumption.
AI and Advanced Analytics Integration: Collaborate with machine learning and AI specialists to integrate MLflow, Feature Store, Model Serving, Vector Search, and Retrieval-Augmented Generation (RAG) pipelines into enterprise data platforms.
Client Advisory and Stakeholder Engagement: Serve as a trusted technical advisor to senior client stakeholders, including Chief Architects, Directors of Engineering, and Chief Data Officers. Lead technical workshops, architecture design sessions, and proof-of-concept evaluations.
Technology Partner Collaboration: Work closely with Databricks Partner Solutions Architects and field engineering teams to assess emerging capabilities, evaluate preview features, and ensure alignment with platform best practices.
Architectural Innovation and Knowledge Sharing: Develop reusable architectural blueprints, migration accelerators, reference architectures, and standardized configurations to strengthen internal technical capabilities and delivery practices.

Requirements:

Professional Experience: At least 8 years of experience in data architecture, data engineering, or enterprise software development, including a minimum of 3 years designing and architecting enterprise solutions based on Apache Spark and the Databricks Data Intelligence Platform.
Databricks Certification: Databricks Certified Data Engineer Professional or Databricks Certified Machine Learning Professional certification.
Cloud Architecture Expertise: Strong architectural proficiency in at least one major cloud platform (AWS, Azure, or GCP), including VPC/VNet networking, private endpoints, cloud identity and access management, Entra ID integration, and cloud object storage solutions such as S3, ADLS Gen2, or GCS.
Data Modeling and Governance: Advanced knowledge of modern data modeling methodologies, including dimensional modeling, Data Vault, and Medallion Architecture, with hands-on experience implementing Unity Catalog across multiple workspaces in production environments.
Programming and Automation: Advanced proficiency in Python, PySpark, and SQL, combined with practical experience using Infrastructure as Code tools such as Terraform and orchestration platforms such as Databricks Workflows or Airflow.
Technical Delivery Leadership: Demonstrated experience leading technical delivery teams, translating complex business and functional requirements into architectural designs, technical specifications, and user stories, and resolving critical implementation challenges.
DevOps and Engineering Practices: Strong understanding of CI/CD pipelines, code quality standards, infrastructure automation, and modern software engineering practices.
Client Communication and Advisory Skills: Excellent communication, presentation, and stakeholder management abilities, with the confidence to facilitate technical discussions and advise senior decision-makers.
Additional Technical Experience: Familiarity with modern data ecosystem integrations, including Power BI, Tableau, reverse ETL, dbt, and data observability platforms, is highly desirable.
Security and Compliance: Experience designing and implementing solutions aligned with enterprise regulatory and security frameworks such as HIPAA, HITRUST, SOC 2, or FedRAMP.
Security Clearance: An active Public Trust or Secret clearance, or eligibility to obtain one, is considered an advantage, particularly for regulated and public-sector engagements.

Benefits:

Competitive Compensation: Estimated annual salary range of $140,000–$210,000, depending on experience, technical expertise, qualifications, certifications, and other relevant factors.
Remote Work: Fully remote working arrangement within the United States.
Technical Leadership Opportunities: Opportunity to take ownership of complex enterprise architecture initiatives and influence large-scale data modernization projects.
Professional Development: Exposure to advanced cloud technologies, the Databricks ecosystem, artificial intelligence, machine learning, and emerging data engineering capabilities.
Industry Exposure: Opportunity to collaborate with enterprise clients, senior technology leaders, and specialized engineering teams across complex technical environments.
Innovation and Knowledge Sharing: Contribute to reusable technical solutions, architectural frameworks, and best practices that support continuous improvement and innovation.

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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More about this job

Skills

Databricks
Leadership
Data engineering
Team leadership
SQL
Unity
Apache Hadoop
Teradata
Snowflake
Process data
Apache Spark
Quality assurance
CI/CD
GitHub
GitLab
Microsoft Azure
DevOps
IBM Terraform
Cost management
Google Analytics
Mlflow
Stakeholder management
Architectural design
Software development
Machine learning
AWS
Google Cloud
Identity and access management
Data modelling
Python
PySpark
Infrastructure as code
Apache Airflow
Communication skills
Microsoft Power BI
Tableau
dbt
Regulatory compliance

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Work requirements

Jobs in the United States