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 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.
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.
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.
Define and guide the technical implementation of enterprise data strategy using Databricks Lakehouse.
Design scalable, secure data solutions for analytics, AI, and operational reporting.
Provide technical leadership, mentor engineers, and ensure automation meets security and compliance.
Ferguson is a Fortune 500 company that supplies quality products for industries including plumbing, HVAC, and more. With approximately 36,000 associates across 1,700 locations, it fosters a community of proud associates operating with a shared purpose of building something meaningful.
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.
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.
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.
Lead architecture for Microsoft Data & AI solutions, translating business needs into scalable, secure, and AI-ready architectures.
Define target-state architectures for data modernization, analytics, and AI using Microsoft Fabric, Azure Databricks, and related tools.
Provide technical leadership and client-facing advisory, supporting presales and implementation efforts.
TTEC Digital is an employee experience and customer experience (CX) consultancy that helps clients drive engagement and growth through innovative technology solutions. With 1,700+ employees, they are part of a larger 60,000+ person organization serving customers in over 80 countries, with a culture centered on diversity and inclusivity.
Design, develop, and maintain scalable data pipelines and infrastructure.
Collaborate with cross-functional teams to ensure data integrity and usability.
Implement data quality and governance practices within data pipelines.
We help large enterprises transform with AI and tech-integrated solutions. With 8,000 employees across 25+ countries, we collaborate to build solutions with real impact.
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.
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.
Architect and design scalable data solutions using Snowflake, ensuring alignment with client requirements and best practices.
Lead data engineering efforts including pipelines, ETL processes, and integration strategies using Python, SQL, and modern tools.
Implement data governance frameworks, optimize performance, and ensure security and compliance across platforms.
BlueCloud is a Snowflake Elite Partner and the 2026 CoCo Catalyst Snowflake Partner of the Year. With 450+ consultants and 200+ enterprise transformations, we help organizations move to AI-ready Snowflake platforms. Our culture is execution-focused and results-driven, delivering 40-50% faster solutions.
Lead design and implementation of enterprise data pipelines within Microsoft Fabric.
Mentor data engineers and establish best practices for data engineering.
Ensure data platform security, availability, and performance requirements are met.
Rackner is a software consultancy focused on building mission-critical systems for the U.S. government. The company provides a creative and forward-thinking environment with growth opportunities and modern perks.
Translate legacy Databricks notebook logic into modern ELT patterns using Python and PySpark, ensuring data contract preservation and reverse-view strategies.
Build scalable ingestion pipelines with YAML configurations and orchestrate automated DAG generation via workflow schedulers, applying quality assertions and migration validation.
Collaborate with business Data Stewards to align dependencies, negotiate refactoring scope, and validate migrated outputs for production systems.
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 tech transformation experience and over 8,000 CI&Ters in 25+ countries, we accelerate innovation through agentic SDLC, application modernization, Data & AI, martech, and business strategy.
Lead end-to-end architecture of scalable Data Lakehouse solutions on GCP using BigQuery, GCS, and Dataplex.
Collaborate with customers to translate business goals into robust architectural blueprints and actionable plans.
Design and implement data pipelines for real-time and batch ingestion with modern orchestration frameworks.
Egen is a data-first technology company that helps clients drive action and impact through data and insights using advanced platforms like Google Cloud and Salesforce. It is a fast-growing, entrepreneurial company with a culture dedicated to learning, innovation, and solving tough problems.
Develop, adjust, and evolve data pipelines using Databricks and PySpark.
Analyze processes migrated from legacy systems (SAS, Hive, Teradata) and make necessary adjustments.
Identify bottlenecks and implement performance improvements and optimizations in pipelines and large-scale data processing.
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, we accelerate innovation through expertise in agentic SDLC, application modernization, Data & AI, martech, and business strategy.
Deliver complex data engineering projects for EMEA and US customers, individually or leading small teams.
Support pre-sales, mentor junior engineers, and contribute to hiring best-in-class data talent.
Work remotely in the UK with occasional travel to Budapest for onboarding and quarterly visits.
Datapao is a data engineering and cloud migration consulting company that helps clients solve complex data puzzles using technologies like Apache Spark and Databricks. They are a rapidly growing tech company with a high-transparency culture, emphasizing open feedback and no politics.
Architect and evolve our data platform using Snowflake and dbt.
Design and implement batch and streaming pipelines in AWS.
Establish best practices for data modeling, governance, and security.
BlueMatrix develops web applications for the authoring, distribution, and analysis of investment research. The team consists of ambitious professionals with offices across North America and Europe.
Build and optimize scalable data pipelines using Databricks, Spark, and PySpark for cloud migration.
Design and maintain data models (Bronze, Silver, Gold layers) to enable analytical insights.
Ensure data quality and governance while managing the technical roadmap and communicating with stakeholders.
CI&T helps large companies transform AI potential into real business impact with AI deployment and tech-integrated solutions. They have 8,000 employees across 25+ countries, fostering a collaborative and innovative culture.