Jobs in the United States

25+ jobs

Group jobs by employerEmail me new jobs Save this search

Added 2 mins ago
Data Strategy & Governance -Director
PwC
Washington, DC
What You Must Have
Added 2 mins ago
Applied AI Health Data Architect [Health Services- Provider]-Senior Manager
PwC
Washington, DC
What You Must Have
Added 2 mins ago
Senior Software Engineer
Evolent
Washington, DC
Knowledge of cloud platforms (e.g., Azure, AWS, GCP), and experience with data engineering technologies (e.g., Spark, Databricks, Microsoft Fabric)
Added 26 mins ago
SAP Consultant
Tiger Analytics Inc.
Remote, United States
…100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Data Analytics, Data Engineering, Business Intelligence, Machine…
Added 56 mins ago
C
Senior Software Engineer, Data Platform
Commure
Mountain View, CA · Los Angeles, CA · New York City, NY · San Francisco, CA
- $180,000 to $230,000 USD / year
- Architect the data lake on object storage using an open table format (Iceberg, Delta Lake, or Hudi) with Parquet, enabling both batch and streaming workloads and clean separation of…
Added 1 hour ago
IG
Enterprise Solution Architect
Insight Global
Remote, United States
- $210,000 to $250,000 USD / year
…Kubernetes and Red Hat OpenShift; cloud platforms and services in AWS and Azure; and hybrid IaaS, PaaS, and SaaS environments. Experience with Red Hat technologies, InterSystems integration…
Added 1 hour ago
IG
Data & Solution Architect (Databricks and Palantir Platforms)
Insight Global
Rockville, MD
- $170,000 to $190,000 USD / year
Insight Global is seeking a highly capable Data & Solution Architect to lead the design, development, and deployment of modern data, analytics, and artificial intelligence solutions for…
Added 1 hour ago
Sr Databricks Data Engineer
Deloitte US
Atlanta, GA · Austin, TX · Boston, MA · Charlotte, NC · Chicago, IL · Cincinnati, OH · Cleveland, OH · Columbus, OH · Costa Mesa, CA · Dallas, TX · Denver, CO · Detroit, MI · Houston, TX · Indianapolis, IN · Kansas City, MO · Los Angeles, CA · McLean, VA · Miami, FL · Minneapolis, MN · Morristown, NJ · Nashville, TN · NY · Philadelphia, PA · Pittsburgh, PA · Rosslyn, VA · Sacramento, CA · San Diego, CA · San Francisco, CA · San Jose, CA · Seattle, WA · Stamford, CT · Tampa, FL · Tempe, AZ
5+ years of hands-on experience in data engineering with a focus on Databricks on Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
Added 2 hours ago
SAP Consultant
Tiger Analytics Inc.
Remote, United States
…100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Data Analytics, Data Engineering, Business Intelligence, Machine…
Added 4 hours ago
Lead Agentic AI Solutions Engineer
CVS Health
Remote, United States
…production-ready applications that combine modern software engineering practices with generative AI and agentic frameworks. This role will lead the engineering and operationalization of…
Added 4 hours ago
Data and Insights Architect
PBF Holding Co.LLC
Parsippany, NJ · Martinez, CA · Chalmette, LA · Paulsboro, NJ · Delaware City, DE · Torrance, CA
…refineries and related facilities. We are seeking a talented Data and Insights Architect to join our team as a pivotal member that would play a key role here at PBF Energy. This role would…
Added 5 hours ago
Principal Data Engineer
Octus
NEW YORK, NY
Added 5 hours ago
HI
AI Architect (Technical Lead)
Hatch IT
Shirlington, VA
- $200,000 to $230,000 USD / year
The ideal candidate is a hands-on AI architect and technical leader with extensive experience designing and delivering enterprise AI applications. You are equally comfortable defining…
Added 5 hours ago
AI
Technical Architect - Snowflake (1317)
Axtria, Inc.
Berkeley Heights, NJ
- $131,200 to $174,975 USD / year
We are looking for a hands-on Technical Architect to own the target-state architecture, lead phased migration programs, and ensure the platform is stable, high-quality, and ready for…
Added 5 hours ago
UD
Director, Enterprise Architecture
USA Donaldson Company Inc.
Bloomington, MN
- $180,080 to $225,100 USD / year
Architect the foundations for enterprise AI, data and analytics, automation, and modern integration, including the platform, security, and responsible-AI patterns needed to scale safely.
Added 7 hours ago
Senior Software Engineer
Evolent
Jackson, MS
Knowledge of cloud platforms (e.g., Azure, AWS, GCP), and experience with data engineering technologies (e.g., Spark, Databricks, Microsoft Fabric)
Added 8 hours ago
CE Data Architect
Lilly
Indianapolis, IN
Cloud/data architecture certifications (AWS, Databricks).
Added 11 hours ago
Databricks Solution Architect
EXL Talent Acquisition Team
San Francisco, CA
Solution Architect, Data Platform (Databricks)
Added 13 hours ago
Senior Manager, AI Architecture
J&J Family of Companies
Raritan, NJ
…technology roadmap, establishing reference architectures and engineering patterns, evaluating emerging capabilities, and translating priority opportunities into practical enterprise…
Added 14 hours ago
O
Solutions and Lakehouse Architect
OpenDataJobs
Remote, United States
- $120,000 to $140,000 USD / year
Peregrine Advisors is a rapidly growing AI and data innovation hub helping government solve hard problems and deliver better outcomes. We work across the full lifecycle - from strategy and…
Added 15 hours ago
Databricks Architect
LED FastStart
Remote, United States
Are you an experienced data architect who enjoys designing modern, scalable data platforms and solving complex data challenges? Do you combine deep Databricks expertise with hands-on…
Added 15 hours ago
Solution Architect, Delivery (Databricks)
Jobgether
Remote, 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…
Added 17 hours ago
Data Strategy & Governance -Director
PwC
Las Vegas, NV
What You Must Have
Added 17 hours ago
Applied AI Health Data Architect [Health Services- Provider]-Senior Manager
PwC
Las Vegas, NV
What You Must Have
Added 17 hours ago
Data Engineer 4 (Cloud Operations Resilience Engineering) (MEG)
Capital One
Plano, TX
Architect and enforce common data engineering design patterns to ensure code quality, maintainability, and reusability across data platforms and pipelines

Datavail Corporation

Senior Data Architect

Remote, United States

Apply on eifn.fa.us6.oraclecloud.com About employer

Applications open in a new tab.

Job details

Posting language: English
Posted: Oct 30, 2026

Original job description

ABOUT THE ROLE

Datavail is hiring a Senior Data Architect to lead the design and delivery of modern data platforms for our clients
You will own the architecture of client engagements from discovery through production, with a primary focus on Microsoft Fabric and the Azure data ecosystem
You will define target-state architectures, build the data models that underpin them, and establish the SDLC and DevOps practices that let client teams operate and extend what we deliver
This is a client-facing role
You will work directly with business stakeholders, client IT and security teams, and Datavail delivery teams of data engineers, analytics engineers and BI developers, often across several engagements at once

RESPONSIBILITIES

Architecture and solution design
Lead discovery and current-state assessments of client data estates, including sources, integrations, platforms, data quality, security posture and operating model
Define target-state and transition architectures for analytics, data warehousing, Lakehouse, real-time and operational data workloads
Produce architecture deliverables: solution architecture documents, logical and physical architecture diagrams, architecture decision records (ADRs), non-functional requirements and capacity plans
Evaluate platform and build-versus-buy trade-offs across Fabric, Databricks, Azure Synapse Analytics and Azure SQL, and present recommendations with cost, risk and effort clearly stated
Apply the Azure Well-Architected Framework (reliability, security, cost optimization, operational excellence, performance efficiency) and the Cloud Adoption Framework's cloud-scale analytics guidance to every design
Design for scale and multi-domain ownership, including data mesh and hub-and-spoke patterns where they fit the client's organization
Plan and lead migrations from on-premises SQL Server, SSIS, SSAS and legacy data warehouses, and from Azure Synapse dedicated SQL pools, to Fabric and Azure
Lead architecture and design reviews, maintain reference architectures and standards, manage exceptions, and track technical debt Microsoft Fabric and Azure platform
Architect end-to-end Fabric solutions across OneLake, Lakehouse, Warehouse, Data Factory pipelines, Dataflows Gen2, Spark notebooks, Real-Time Intelligence (Eventstream, Eventhouse, KQL) and Power BI
Design OneLake strategy: workspace and domain structure, shortcuts to ADLS Gen2 and external storage, database mirroring, and medallion (bronze/silver/gold) layering on Delta Lake
Size and govern Fabric capacities (F SKUs), including workload isolation, capacity monitoring, throttling behavior and cost management
Forecast consumption, set budgets and tagging/showback standards, monitor unit economics, and optimize cloud/Fabric spend
Design Power BI semantic models for performance and scale, including Direct Lake, Import and DirectQuery storage modes, composite models, incremental refresh, and row-level and object-level security
Integrate Fabric with the wider Azure estate: ADLS Gen2, Azure Data Factory, Databricks and Unity Catalog, Azure SQL Database and Managed Instance, Cosmos DB, Event Hubs, Azure Functions and Azure Machine Learning
Design network and identity controls: Microsoft Entra ID, managed identities and service principals, Azure Key Vault, private endpoints and Private Link, managed virtual networks and workspace-level access
Data modeling
Own conceptual, logical and physical data models for client solutions, from business glossary through to deployed schemas
Apply the right modeling approach for each layer: Kimball dimensional modeling (star schemas, conformed dimensions, bus matrix, slowly changing dimensions Types 1, 2 and 6), Data Vault 2.0 (hubs, links, satellites) for integration layers, and normalized 3NF models for operational and master data
Design canonical and enterprise data models, master and reference data structures, and entity resolution approaches
Define naming standards, data type conventions, key strategies (surrogate, natural, hash), and partitioning and file layout for Delta tables
Maintain models in a modeling tool (erwin Data Modeler, ER/Studio, SqlDBM or equivalent) and keep them in version control alongside code
SDLC and DevOps
Establish the delivery lifecycle for data workloads: environment strategy (dev, test, prod), branching and pull request standards, code review, release management and rollback
Implement Fabric Git integration with Azure DevOps or GitHub, Fabric deployment pipelines, and automated deployment using the Fabric REST APIs and the fabric-cicd library
Build CI/CD pipelines in Azure DevOps Pipelines and GitHub Actions for Fabric items, Azure Data Factory, Databricks (Asset Bundles), SQL database projects (DACPAC/sqlpackage) and Power BI (PBIP/TMDL)
Define infrastructure as code with Bicep and Terraform for Azure resources, identities and networking
Embed automated testing: unit tests for transformations, data quality and contract tests, schema-drift detection, and regression testing of semantic models
Define DataOps practices for observability, alerting, lineage, pipeline SLAs and incident response, and hand them over with runbooks
Define support models, SLAs/SLOs, escalation paths, training, documentation, and handoff criteria
Work within Agile delivery (Scrum or Kanban) using Azure Boards or Jira, including backlog refinement, estimation and sprint planning
Set standards for AI-assisted development with GitHub Copilot and AI coding agents across design, code, testing and documentation, including review and quality guardrails
Data governance and security
Design governance frameworks aligned to DAMA-DMBOK, covering data ownership and stewardship, metadata, data quality, lifecycle and retention
Implement Microsoft Purview for data catalog, lineage, classification and sensitivity labels across Fabric and Azure sources
Design least-privilege security models using Fabric workspace roles, item permissions, OneLake security, and row-, column- and object-level security
Ensure solutions meet client regulatory obligations such as HIPAA, SOC 2, PCI DSS, GDPR and CCPA, working with client compliance and security teams
Establish responsible AI and AI governance aligned to the NIST AI Risk Management Framework, the EU AI Act and Microsoft's Responsible AI Standard, including approved model use, data access policies for AI, and human oversight
Design security controls for AI workloads, covering prompt injection, data exfiltration through agents, content filtering with Azure AI Content Safety, and Microsoft Purview data security for AI
AI and machine learning enablement
Design data foundations that support AI and machine learning: curated feature data, data quality controls and governed access for model training and inference
Architect solutions that use Azure Machine Learning, Fabric Data Science and Azure OpenAI, including retrieval-augmented generation (RAG) over enterprise data with Azure AI Search
Prepare client data estates and semantic models for Copilot in Fabric and Power BI
Design Fabric IQ solutions, including ontologies that define business entities, relationships, rules and data bindings to lakehouses, eventhouses and Power BI semantic models, and Fabric data agents for conversational Q&A over ontology-grounded data Model knowledge graphs for multi-hop reasoning over connected enterprise data, using Graph in Fabric and other graph technologies where appropriate
Architect agentic solutions with Microsoft Foundry and Foundry IQ, using knowledge sources and knowledge bases that ground agents in both unstructured content and structured Fabric data
Define where AI agents and models sit in the overall platform, including when to use Fabric, Foundry or Databricks, and how agents access governed data through APIs, tools and Model Context Protocol (MCP) servers
Design GenAIOps practices: evaluation of response quality and groundedness, tracing and observability, prompt and model versioning, and monitoring of token usage and cost
Plan AI cost and capacity, including model selection, provisioned versus pay-as-you-go deployments, and the impact of AI workloads on Fabric and Databricks compute
Consulting, pre-sales and delivery
Support pre-sales: lead technical discovery calls, shape solution approaches, build effort estimates and contribute to proposals and statements of work (SOWs), including scope, assumptions, deliverables and acceptance criteria
Fulfill the technical lead role on client engagements: own the technical approach and architecture standards, keep delivery aligned to scope and budget, serve as the primary technical contact for client teams, and raise risks and change requests early
Review implementation against approved designs, conduct readiness reviews, and provide production sign-off
Present architecture and recommendations to audiences from engineers to C-level executives, in writing and in person
Identify follow-on opportunities and contribute to account growth based on client needs
Develop solution accelerators and Datavail intellectual property (IP), such as reference architectures, reusable frameworks, deployment templates and packaged offerings, that speed up delivery and differentiate the practice
Stay ahead of innovation across Microsoft Fabric, Azure and the wider data and AI market: evaluate preview and newly released capabilities, build proofs of concept, and turn what works into practice guidance and client recommendations
Convert recurring patterns, decisions, and lessons learned into reusable Datavail intellectual property - including architecture blueprints, decision frameworks, assessment tools, checklists, templates, and accelerators - while protecting client confidentiality
Leadership and mentoring
Lead technical delivery teams of data engineers, analytics engineers and BI developers on client engagements
Mentor team members through design reviews, code reviews, pairing and certification guidance Contribute to hiring, interviewing and onboarding for the Data & Analytics practice

REQUIRED QUALIFICATIONS

Bachelor's degree in computer science, information systems, engineering or a related field, or equivalent professional experience
10+ years of experience in data engineering, data warehousing or analytics, including 5+ years in a data or solution architect role
3+ years designing and delivering data solutions on Azure, and hands-on delivery experience with Microsoft Fabric in production
End-to-end architecture ownership of at least two enterprise-scale data platform implementations
Expert-level dimensional modeling skills and working knowledge of Data Vault 2.0 and normalized modeling
Advanced SQL (T-SQL and Spark SQL) and working proficiency in Python/PySpark. Working knowledge of DAX and KQL
Practical experience implementing CI/CD, Git-based workflows and infrastructure as code for data platforms
Experience in a professional services, consulting or client-facing delivery environment, including pre-sales and estimation
Experience leading and mentoring technical teams
Strong written and verbal communication, with the ability to produce clear architecture documentation and lead client workshops
Ability to travel up to 25% to client sites
Authorization to work in the United States

PREFERRED QUALIFICATIONS

Microsoft Certified: Fabric Data Engineer Associate (DP-700)
Microsoft Certified: Azure Solutions Architect Expert (AZ-305)
Microsoft Certified: DevOps Engineer Expert (AZ-400)
Databricks Certified Data Engineer Professional
Delivered AI or machine learning solutions in production, including RAG or generative AI workloads on Azure
Experience designing ontologies or knowledge graphs, and hands-on work with Fabric IQ or Foundry IQ
Experience implementing AI governance or responsible AI programs, and GenAIOps evaluation and monitoring for production AI solutions
Experience with Azure Government (GCC, GCC High) or other government cloud environments, including FedRAMP and related compliance requirements
Experience architecting multi-tenant data platforms, including tenant isolation models (workspace-, capacity-, schema- or row-level), tenant onboarding automation and per-tenant security and cost allocation
Experience with transformation and data quality frameworks
Industry experience in healthcare, financial services, manufacturing, retail or the public sector

TECHNICAL ENVIRONMENT

Area Technologies and frameworks

Microsoft Fabric

OneLake, Lakehouse
Warehouse, Data Factory
Dataflows Gen2, Spark notebooks
Real-Time Intelligence
Mirroring
Shortcuts
Power BI, Direct Lake
Deployment pipelines

Azure data

ADLS Gen2
Azure Data Factory
Databricks, Unity Catalog
Azure Synapse Analytics
Azure SQL
Cosmos DB
Event Hubs
Stream Analytics

AI and ML

Azure Machine Learning
Fabric Data Science
Azure OpenAI
Azure AI Search
Copilot in Fabric
Microsoft Foundry
Foundry IQ, Azure AI Content Safety, Model Context Protocol (MCP)

Semantics and knowledge

Fabric IQ, ontology
Graph in Fabric
Fabric data agents
Knowledge graphs
Power BI semantic models

Security and governance

Microsoft Entra ID
Azure Key Vault
Private Link
Managed VNets
Microsoft Purview

DevOps

Azure DevOps (Repos, Pipelines, Boards)
GitHub and GitHub Actions
Fabric Git integration
Fabric-cicd
Databricks Asset Bundles
SQL database projects
Bicep, Terraform
GitHub Copilot

Languages

T-SQL
Spark SQL
Python
PySpark
DAX, KQL
PowerShell

Modeling

Kimball dimensional
Data Vault 2.0
3NF
Medallion architecture; erwin
ER/Studio
SqlDBM

Frameworks

Azure Well-Architected Framework
Cloud Adoption Framework
DAMA-DMBOK
Data mesh
Agile (Scrum, Kanban)

Datavail is a leading provider of data management, application development, analytics, and cloud services, with more than 1,000 professionals helping clients build and manage applications and data via a world-class tech-enabled delivery platform and software solutions across all leading technologies. For more than 17 years, Datavail has worked with thousands of companies spanning different industries and sizes, and is an AWS Advanced Tier Consulting Partner, a Microsoft Solutions Partner for Data & AI and Digital & App Innovation (Azure), an Oracle Partner, and a MySQL Partner.

Apply on eifn.fa.us6.oraclecloud.com About employer

Report this job

Work requirements

Jobs in the United States