Architect enterprise-scale Databricks data platforms with guardrails, automation, and standards to enable safe self-service by business teams.
Design high-volume batch and real-time streaming pipelines using PySpark and Structured Streaming, integrating Unity Catalog with third-party metadata.
Communicate architectural decisions to technical and business stakeholders, produce documentation, and partner with client teams to translate use-case needs into platform capabilities.
Caylent is an AI-first cloud services company that helps organizations turn ambitious ideas into meaningful business impact using AWS, AI, and Anthropic's Claude platform. They are a fully remote global company with employees across Canada, the US, and Latin America, fostering a culture of technological curiosity and inclusion.
Design and architect scalable Databricks-based solutions for enterprise clients.
Lead end-to-end cloud data platform implementations across AWS and/or Azure.
Partner directly with client stakeholders to understand business needs and translate them into technical solutions.
Cuesta Partners is a consulting firm that delivers data engineering solutions in a client-facing environment. They value entrepreneurship, humility, diversity, learning, speed, and balance, and offer a competitive compensation package.
Design and deliver end-to-end data and analytics solutions on Azure for enterprise clients.
Integrate data sources, build models, and operationalize cloud infrastructure.
Collaborate with clients to identify business needs and communicate Microsoft's cloud data strategy.
NRI North America is a consulting firm that delivers modern data and analytics solutions for enterprise clients. They offer a collaborative, results-oriented culture with opportunities to work with large clients across North America.
Lead and deliver end-to-end Databricks implementation projects at enterprise scale.
Design and architect Lakehouse Platform solutions aligned with client business needs.
Apply deep Apache Spark expertise to optimize distributed workloads and runtime performance.
We are a data infrastructure and analytics consulting practice specializing in Databricks implementations for enterprise clients. Our team is composed of experienced engineers and architects who prioritize production-grade quality and continuous learning.
Serve as a technical leader shaping the architecture, scalability, security, and performance of an enterprise data platform.
Design and implement data governance, security, and ETL solutions for healthcare data using Databricks, AWS, and Terraform.
Collaborate with engineering, data science, and business teams to translate complex requirements into reliable and secure solutions.
IntelliScript is a healthcare data platform company that builds enterprise warehouse, lakehouse, pipeline, and data product solutions. They foster a collaborative culture focused on technical leadership, innovation, and cross-functional teamwork.
Define strategic Databricks adoption roadmaps and platform guardrails for enterprise clients.
Embed with client teams to implement high-priority use cases, then guide them toward self-service.
Act as a data engineering SME in pre-sales and coach client teams on Databricks best practices.
Caylent is an AI-first cloud services company that helps organizations turn ambitious ideas into meaningful business impact. They are a fully remote global company with employees across Canada, the United States, and Latin America, fostering a culture of technological curiosity and inclusion.
Design and implement Azure infrastructure using Terraform, including Databricks, ADLS Gen2, and networking.
Administer the Databricks platform, configuring Unity Catalog, cluster policies, identity federation, and cost governance.
Partner with data engineering and data science teams to set platform standards and resolve complex issues.
Valce Talent Solutions helps clients enhance talent attraction capacities, especially in technological profiles. Founded in 2016 with 24 employees, we offer consulting services to technology companies in IT, software development, cybersecurity, and project management.
Own the technical portion of the sales cycle for Databricks opportunities from discovery to handoff.
Design architectures for lakehouse, medallion, data ingestion, transformation, and governance.
Partner with sales, alliance, and delivery teams to develop proposals and statements of work.
Aimpoint Digital is a market-leading data, AI, and analytics consulting firm. They help organizations design, build, and operationalize modern data platforms, analytics solutions, and production AI applications.
Design and implement enterprise-grade lakehouse architectures using Databricks.
Develop scalable data solutions leveraging Databricks, Azure, GCP, Apache Spark, PySpark, and SQL.
Provide hands-on technical leadership and partner directly with enterprise clients to translate requirements into robust solutions.
Our partner is a consulting organization that specializes in enterprise-scale data, cloud, and AI transformation. They offer a fast-paced, high-impact environment with exposure to modern technology and enterprise clients.
Lead and mentor a team of Data Engineers, driving technical excellence and engineering best practices.
Own end-to-end architecture and design of the data platform, ensuring scalability and reliability.
Define and drive data migration strategies from Snowflake and SSIS to Azure Databricks and DBT.
Coforge is a global digital services and solutions provider specializing in data engineering and cloud transformation. With over 20,000 employees, it fosters a culture of innovation, collaboration, and technical excellence.
Lead the architecture and implementation of access controls across a Databricks Lakehouse environment.
Translate security and compliance requirements into scalable technical controls and policies.
Provide technical leadership and partner with data engineering, platform, and identity teams.
The company is a technology firm specializing in data security and modern cloud data platforms. It is a large enterprise with a strong emphasis on security, automation, and cross-functional collaboration.
Help design scalable solutions for a modern federal health data platform spanning cloud, on-premises, and government environments.
Translate mission, business, data, security, and operational requirements into clear technical designs.
Collaborate with Data Engineers and Technical Leads to keep implementations aligned with the broader platform architecture.
540 is a forward-thinking technology company that partners with the government to deliver impactful solutions for mission-critical problems. They foster a culture of innovation and getting things done, with a focus on trusted relationships and technical excellence.
Design and manage end-to-end data infrastructure including databases, Data Warehouses, Data Lakes, and Medallion Architecture.
Lead technical migration strategy from legacy systems to cloud platforms, ensuring smooth transition.
Translate business requirements into technical specifications, establish data models and governance policies.
CI&T helps large companies transform AI potential into real business impact with AI deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience and 8,000 employees across 25 countries, they collaborate to build solutions with real impact.
Lead technical discovery and design solutions for customer workloads in data engineering, analytics, and ML.
Build and deliver compelling proofs-of-concept and live demos on the Databricks Platform.
Own frontline technical relationships with customer engineers and data teams to drive platform adoption.
Databricks is the Data and AI company. Over 20,000 organizations worldwide, including 70% of the Fortune 500, rely on its unified platform for data, analytics, and AI, with a culture of proactiveness and customer-centricity.
Own end-to-end delivery of data pipelines and data products from design through deployment and production support.
Develop and optimize scalable data pipelines using Azure Databricks, DBT, and Python.
Support large-scale data migrations from Snowflake to Azure Databricks and manage infrastructure with Terraform.
Coforge is a global IT solutions company that provides digital services and solutions to enterprises. They employ thousands of professionals worldwide and focus on innovation and collaboration.
Design production data pipelines using Databricks Lakeflow, Autoloader, and Structured Streaming with CI/CD.
Architect Lakehouse solutions including medallion architecture and Unity Catalog for analytics and AI.
Collaborate with product and backend engineers to design data models and APIs that serve the product.
Livefront helps companies design and build world-class digital products. They have worked with major brands and startups, fostering a culture built on respect, mutual trust, and egoless collaboration.
Lead the technical design and implementation of the RevOS data architecture within Databricks and the DHA War Data Platform.
Assess and restructure existing revenue-cycle data into a scalable, governed, and reusable data model aligned to the healthcare workflow.
Ensure the resulting data architecture directly supports production dashboards, KPI reporting, and drill-down analysis.
LMI is a digital solutions provider dedicated to accelerating government impact with innovation and speed. Headquartered in Tysons, Virginia, LMI serves the defense, space, healthcare, and energy sectors with a focus on agility and collaboration.
Design end-to-end data solutions including warehouses, lakes, and pipelines to enable analytics, reporting, and AI.
Act as a senior individual contributor bridging business strategy and technical execution, influencing outcomes across teams.
Provide technical leadership, mentorship, and set architectural direction for data initiatives in a regulated environment.
Protective helps protect customers against life's uncertainties by providing insurance and financial protection. The company has an enterprise-wide impact and emphasizes a culture of technical leadership, collaboration, and employee wellbeing.
Design and implement data collection tools and pipelines using Python, SQL, or Azure Data Factory.
Analyze data patterns with advanced algorithms to deliver actionable insights and visualizations.
Present analytical outcomes to stakeholders and support predictive modeling for healthcare transformation.
Blue Water Thinking is a consulting firm supporting Federal clients with technology and business transformation. Founded by a decorated Army Veteran, the company emphasizes integrity, collaboration, and customer service.
Architect and implement scalable cloud-native analytics platforms like Databricks and Snowflake.
Act as a hands-on bridge between business strategy and engineering teams, translating rules into code.
Design and automate decision engines that integrate multi-source retail and POS data for campaign measurement.
Avery Dennison is a global materials science and digital identification solutions company. With approximately 35,000 employees worldwide, it fosters a culture of curiosity and innovation.