2

Remote Databricks Architect Jobs in Virginia (NOW HIRING)

... is seeking a Databricks Migration Engineer to support our US Government client. * This remote ... Architect and refine the Gold Layer (dimensional models, star schemas) specifically to maximize ...

Architect, Data Engineering

Arlington, VA · On-site +1

$170K - $190K/yr

... delivered on Databricks, with deep partnerships across AWS, Azure, and GCP. To date, we\'ve ... This role is open to remote candidates in the U.S. and Ontario, Canada. You're also welcome in any ...

Lead AI Engineer

Richmond, VA · On-site +1

$101K - $133K/yr

... or remote applicants residing in states/locations under Eastern Standard Time: Connecticut ... Databricks capabilities, and scalable architecture patterns. * Explore new tools, libraries, and ...

Lead AI Engineer

Richmond, VA · On-site +1

$101K - $133K/yr

... or remote applicants residing in states/locations under Eastern Standard Time: Connecticut ... Databricks capabilities, and scalable architecture patterns. * Explore new tools, libraries, and ...

Machine Learning Engineer - Remote

Vienna, VA · On-site +1

$140K - $150K/yr

Create scalable and reusable training pipelines using Databricks notebooks and MLflow ... Data Integration & Architecture Alignment * Work closely with Data Engineering to align ML ...

Lead the design and implementation of scalable data architecture, including data pipelines, data ... Experience with SQL, Python, R, Databricks, Snowflake, Redshift, BigQuery, Synapse, Dataverse, or ...

next page

Showing results 1-20

Remote Databricks Architect information

What is the difference between Remote Databricks Architect vs Remote Data Engineer?

AspectRemote Databricks ArchitectRemote Data Engineer
Primary FocusDesigning and implementing data solutions on Databricks platformBuilding and maintaining data pipelines and infrastructure
Required SkillsDatabricks, Spark, cloud platforms, architecture designETL, SQL, Python, cloud data tools
CertificationsDatabricks certifications, cloud certificationsCloud certifications, SQL, Python skills
Work EnvironmentCollaborates with data teams, architects, and stakeholdersWorks on data pipeline development, data modeling

While both roles work within data environments and often in cloud settings, the Remote Databricks Architect focuses on designing scalable data solutions using Databricks, whereas the Remote Data Engineer primarily builds and maintains data pipelines and infrastructure. The architect role emphasizes architecture and strategy, while the data engineer role emphasizes implementation and operational tasks.

What are the most commonly searched types of Databricks Architect jobs in Virginia? The most popular types of Databricks Architect jobs in Virginia are:
What cities in Virginia are hiring for Remote Databricks Architect jobs? Cities in Virginia with the most Remote Databricks Architect job openings:
Infographic showing various Remote Databricks Architect job openings in Virginia as of July 2026, with employment types broken down into 91% Full Time, 5% Part Time, 1% Temporary, and 3% Contract. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution.

Databricks Migration Engineer (Remote)

A.C. Coy

On-site, Remote

Other

Posted 20 days ago


Job description

Overview
  • Tier One Technologies is seeking a Databricks Migration Engineer to support our US Government client.
  • This remote Contract-to-Hire position will be originated in Rosslyn, VA. Washington DC area and East Coast time zone candidates preferred.
  • Must be a US Citizen.
  • SELECTED CANDIDATES WITHOUT REQUIRED CLEARANCE WILL BE SUBJECT TO A FEDERAL GOVERNMENT BACKGROUND INVESTIGATION TO RECEIVE IT.

Responsibilities
  • Lead the technical migration from legacy SQL Server stored procedures and ADF pipelines to Databricks Lakehouse (Delta Lake), ensuring best practice Lakehouse design.
  • Translate traditional relational data warehousing paradigms into scalable, distributed Lakehouse frameworks (Bronze, Silver, Gold).
  • Design robust, reusable ETL/ELT frameworks using PySpark, Delta Live Tables (DLT), and Databricks Workflows.
  • Architect and refine the Gold Layer (dimensional models, star schemas) specifically to maximize Power BI performance.
  • Optimize Databricks SQL Warehouses to support high-concurrency, low-latency Power BI queries (DirectQuery and Import modes).
  • Implement advanced optimization techniques, including Z-Ordering, data skipping, liquid clustering, and materialized views.
  • Define and enforce governance standards for cluster sizing, auto-scaling policies, and serverless SQL compute to balance performance with cost.
  • Implement proactive monitoring dashboards to track Databricks Unit (DBU) consumption and identify cost-saving opportunities.
  • Establish best practices for partition strategies and file size management within Delta Lake.
  • Design and implement a robust data security model using Unity Catalog for centralized governance.
  • Enforce row-level and column-level security policies to ensure compliant data access for Power BI consumers and internal analysts.
  • Align the Lakehouse security architecture with existing enterprise Azure Active Directory (Microsoft Entra ID) and RBAC standards.
  • Act as the primary technical lead, conducting dedicated pair-programming sessions, workshops, and code reviews to transition the team from SQL-centric to Spark-centric thinking.
  • Create comprehensive technical documentation, including architecture diagrams, design patterns, and optimization playbooks.
  • Build a foundational knowledge transfer framework to ensure the internal team is fully self-sufficient post-migration.
  • Communicate effectively verbally and in written form to both technical and non-technical audience
  • Work in an organized fashion, completing tasks timely while paying close attention to details

Qualifications
  • Bachelor's degree or higher from an accredited college or university in Computer Science, Engineering, or a related technical field.
  • 5+ years of experience in Data Engineering, Data System Development or related roles.
  • 5+ years of experience with Cloud platforms (e.g. Azure, AWS, GCP).
  • 1+ year leading complex, cross-functional data projects and technical teams.
  • Experience with Databricks Lakehouse, Apache Spark, Delta Lake, cloud-native databases, storage solutions, and distributed compute platforms.
  • Experience with data warehousing, dimensional modeling, enterprise data lakes, incremental data loads, and metadata-driven ingestion and data quality frameworks using PySpark.
  • Excellent communication skills.
  • Must be a US Citizen and be able to obtain a Position of Public Trust Clearance.
  • Must have resided in the US for the last 5 years and not have traveled outside the US for a combined total of 6 months or more in last 5 years.

A.C. Coy Company- Staffing & Consulting Services logo

About A.C. Coy Company- Staffing & Consulting Services

Sourced by ZipRecruiter

Since 1986, our mission is to be the “Always on Target” staffing and consulting provider by helping people and companies achieve their hiring goals. The team is dedicated to achieving these goals by attracting and retaining top talent that meets our clients’ culture and environment. We are fully engaged with our people and companies through ongoing communication to ensure expectations are met.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Canonsburg, PA, US

Social media