Datavail

Senior Data Architect

Datavail  •  United States (Remote)  •  3 months ago
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Job Description

  • 10+ years of IT experience
  • Databricks (data engineering, SQL, notebooks, app/backend integration patterns)
  • Enterprise data warehouses and lakehouse platforms (Nice to have Fabric,Snowflake, Synapse, BigQuery – experience)

  • Deep knowledge of data modeling, data warehousing, and lakehouse patterns

Hands‑on experience with at least one modern data platform:

  • Experience integrating data platforms with applications using APIs, services, or event‑driven patterns
  • Solid understanding of cloud architecture concepts (security, networking, scalability, cost management)
  • Strong communication skills with the ability to engage both technical and business stakeholders
  • Experience working in client‑facing or consulting environments
  • Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND
  • Deep hands on experience with Databricks Lakehouse Platform and Apache Spark
  • Strong proficiency in PySpark, SQL, Delta Lake, Databricks SQL
  • Experience implementing Unity Catalog, data governance, and enterprise security controls
  • Cloud experience with Azure Databricks, AWS Databricks, or GCP Databricks
  • Familiarity with CI/CD, DevOps, and automation for Databricks workloads


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.

Datavail

About Datavail

Datavail | Data, Cloud & AI—Built for Real Business Outcomes

Datavail is a data, cloud, and AI consultancy that helps organizations turn complex technology environments into clear, measurable business outcomes.

We partner with data, technology, and IT leaders to make enterprise data more usable, systems more adaptable, and decisions more informed. Our work sits at the intersection of data management, cloud modernization, enterprise applications, and AI—bringing these disciplines together so they support the business, not slow it down.

In a landscape full of tools, platforms, and transformation promises, Datavail focuses on what actually drives progress:

• Trusted, well-managed data that teams can rely on

• Cloud environments without unnecessary cost or complexity

• Enterprise applications that evolve with the business

• Practical, responsible AI that delivers value—not experiments

We help organizations:

• Improve data quality, accessibility, and governance

• Turn analytics and AI into everyday decision-making tools

• Modernize and optimize cloud and application environments

• Reduce operational risk while increasing agility and performance

Our Core Capabilities:

• Data Management & AI: Data foundations, analytics, AI and machine learning that support real-world decisions

• Cloud Services: Cloud modernization, optimization, SRE services, and license optimization

• Enterprise Applications: Managed services, upgrades & integrations, digital transformation, and implementation services

At Datavail, we believe data only creates value when it’s well managed, well understood, and actively used. Our role is to help organizations move from complexity to clarity—and from data to action.

Industry
IT & Software
Company Size
501-1,000 employees
Headquarters
Boulder, Colorado
Year Founded
2007
Website
datavail.com
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