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.
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 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 scalable Databricks solution architectures for enterprise customers.
Lead technical discovery sessions and develop prototypes and proofs of concept.
Collaborate with engineering, data science, and business teams to translate technical concepts into business outcomes.
This company is a partner organization that designs and delivers modern data and AI platforms. It offers a remote-friendly work environment and a collaborative culture focused on innovation.
Design and deliver complex data platform components or migration solutions on AWS using Databricks.
Troubleshoot performance, scalability, and reliability issues in cloud-native data environments.
Communicate technical topics clearly to stakeholders and produce high-quality documentation.
Caylent is an AI-first cloud services company that helps organizations turn ambitious ideas into meaningful business impact. As a fully remote global company with employees in Canada, the United States, and Latin America, they celebrate diverse cultures and foster a community of technological curiosity.
Architect scalable data platforms for analytics, ML/AI products, and customer-facing data products.
Build reliable batch and near-real-time pipelines that are scalable and cost-efficient.
Productionize ML and AI products and support LLM/VLM workflows.
Vidmob is a creative data company that provides scoring software and analytics to help marketers improve creative effectiveness. It partners with the world's largest marketers and agencies and operates a robust human-reinforcement learning model for creativity.
Design, build, and maintain scalable data pipelines and ETL/ELT processes using Databricks and Spark.
Architect and optimize data models and storage solutions for analytics and operational use.
Implement observability, alerting, and data quality monitoring for critical pipelines.
Sonatype provides end-to-end software supply chain security solutions, protecting against malicious open source and managing SBOMs. With over 2,000 organizations and 15 million developers using its platform, it focuses on innovation and security in software development.
Write, optimize, and maintain complex SQL across multiple database platforms and Databricks.
Design and build data ingestion pipelines using API integrations, CDC patterns, and modern data engineering practices.
Develop and maintain Databricks Lakehouse architectures following the Medallion model.
Coforge is a global IT services company specializing in digital transformation and technology solutions. With over 20,000 employees worldwide, the company fosters a collaborative and innovative culture focused on delivering value to clients.
Design, build and maintain scalable ingestion and transformation pipelines across Microsoft Fabric and Azure Synapse Analytics.
Develop dimensional and medallion-layer data models, and optimize queries and semantic models for performance.
Act as line manager to junior data engineers, providing technical guidance, mentoring, and performance management.
Morgan Advanced Materials uses advanced ceramic and carbon materials to solve difficult problems for customers across diverse markets. Founded in the UK in 1856, the company has grown into a global organization with 70 sites in 18 countries, approximately 8,000 employees, and revenue of £1,100.7m in 2024.
Design and implement scalable data architectures to meet business needs.
Develop and optimize data pipelines for ingesting and processing large volumes of data.
Provide technical leadership and mentorship to junior engineers.
Oportun is a mission-driven financial services company that provides affordable credit and financial tools. Since inception, it has provided over $21.3 billion in credit and saved members $2.5 billion, and fosters a diverse, inclusive culture.
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.
Guide strategic enterprise customers through cloud data engineering transformations, including performance testing and production-ready pipeline architecture.
Prove platform value by architecting solutions for big data, data warehousing, and lakehouse use cases.
Support technical sales through custom proofs of concept, workload sizing, and community workshops.
Databricks is the Data and AI company, providing a unified platform for data, analytics, and AI to over 20,000 organizations worldwide, including 70% of the Fortune 500. Headquartered in San Francisco with 30+ offices globally, it fosters a diverse and inclusive culture and offers comprehensive benefits.
Design and ship data infrastructure at the core of modern data platforms, scalable pipelines, and reporting layers.
Work directly with the CEO and a small senior team, owning results from day one.
Build client-facing systems, translating business problems into architecture and delivering results.
Paradox Machines is a data and AI company that helps businesses make their data actually usable. They are a venture-backed company with a small, senior team that values ownership and impact.
Data Ingestion & Pipeline Reliability: Ensuring continuous, accurate data availability by monitoring and optimizing batch and real-time streaming pipelines.
Data Mart Delivery & Business Modeling: Delivering query-ready Gold-layer data marts by partnering with Data Analytics and Data Science teams.
Data Quality Frameworks & Precision: Maintaining flawless data integrity by writing and deploying automated data quality test suites.
Trupanion is a leading provider of medical insurance for cats and dogs in North America, helping pet owners budget and care for their pets. The company offers a collaborative, casual, and pet-friendly environment where everyone is encouraged to be themselves.
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.
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.
Design, build, and maintain business-critical data pipelines, including data ingestion and AWS Glue/Spark jobs feeding the warehouse and Tableau.
Build and operate core data infrastructure: the data warehouse, orchestration, and BI/reporting platform, deployed across multiple regions.
Drive work across producer and consumer teams, communicate clearly, and own outcomes end to end.
Horizon3 is a fast-growing cybersecurity company that provides autonomous pentesting and assessment operations via its NodeZero platform. They are a team of former special ops and engineers, committed to a culture of respect, collaboration, ownership, and results.
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.
Support new and existing customers in their data engineering needs, guiding them to make optimal technical decisions.
Build and operationalize complex data solutions, including data governance, security, and quality.
Collaborate across teams to deliver data products and educate end users on analytic environments.
SunnyData is a high-growth consulting company specializing in data engineering and AI, dedicated to the Databricks platform. They foster a collaborative and innovative culture with a focus on customer impact and career growth.
Design, develop, and maintain scalable, production-ready data pipelines and data products using Spark (Python/SQL) in a Databricks environment.
Lead the integration and transformation of complex data from diverse DoD and federal health systems into reliable, reusable data products.
Provide technical guidance and mentorship to other engineers, helping teams navigate complex technical challenges.
540 is a forward-thinking company that delivers innovative technology solutions for government missions. The team has a culture of breaking down barriers and solving mission-critical problems.