Design and implement proof-of-concept solutions to tackle real customer data challenges, from concept to production.
Conduct demos and provide technical guidance to engineering teams, showing how the platform transforms workflows.
Contribute to the Apache Airflow community by creating technical content and best practices, positioning Astronomer as a thought leader in workflow orchestration.
Lead architecture reviews, workshops, and technical design sessions with engineering teams and executive stakeholders.
Design end-to-end platform architectures integrating Airflow with cloud infrastructure, compute frameworks, and data platforms.
Diagnose and resolve issues, guide customers through deployments, migrations, and platform modernization.
Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading unified DataOps platform powered by Apache Airflow. Trusted by more than 800 of the world's leading enterprises, Astronomer lets businesses do more with their data.
Partner with Sales teams throughout the opportunity lifecycle from discovery to deal closure.
Act as the primary technical advisor for customers, conducting discovery workshops and building solution architectures.
Contribute to reusable assets, frameworks, and best practices for internal enablement.
We are an Agentic AI-powered leader in intelligent operations and transformation, serving more than 700 clients across 10 industries. With over 66,000 employees across 13 countries, we combine scale, expertise, and execution to create meaningful, measurable impact.
Support Snowflake-to-Databricks data migration activities.
Design and implement scalable data pipelines using Snowflake, Databricks, SQL, Python, and dbt.
Optimize data workflows for performance, scalability, cost efficiency, and maintainability.
Hiflylabs is a Budapest-based company delivering Data Warehouses, Business Intelligence, and Data Analytics solutions. With over 250 employees and 10 years of experience, they serve financial, telecommunication, and energy sectors, fostering a culture of innovation and collaboration.
Collaborate with account teams and customers to demonstrate Acceldata solutions, tailoring presentations to address specific challenges.
Develop technical proposals, lead proof-of-concept implementations, and present value-oriented results to stakeholders.
Educate sales teams on data observability and assist with technical documentation to support customer success.
Acceldata provides observability and open data platform solutions for Hadoop and other data environments. They are a growing company focused on empowering customers with data monitoring and integration, fostering a dynamic and results-oriented culture.
Design, build, test, deploy, and maintain scalable data pipelines, transformations, and data models on Snowflake.
Develop and productionize AI and machine learning solutions using Snowflake Cortex AI, including AI agents and retrieval experiences.
Implement data quality checks, automated testing, observability, error handling, and deployment controls for reliable production data and AI workloads.
FreedomPay provides a commerce platform for global enterprises, powering payments, security, identity, and data analytics. It is a fast-paced, high-growth company with a great culture and business casual atmosphere.
Design and build production data pipelines using Databricks technologies such as Lakeflow, Autoloader, and Structured Streaming.
Architect and implement Lakehouse solutions on Databricks with medallion architecture, Delta Lake, and Unity Catalog.
Consult with clients to understand data challenges and implement sustainable data strategies and solutions.
Livefront helps companies design and build world-class digital products that command attention and inspire joy. They are a consultancy with a reputation for excellence, working with household names and startups, and they value collaboration, quality, and community.
Collaborate with Data Science, Product Managers, and Software Engineers to build robust ETL pipelines for user-facing features.
Contribute to architecture decisions, observability tooling, and data quality initiatives to keep the platform robust.
Enforce engineering best practices across the AI/ML org, including code quality, testing, and documentation.
Federato is an AI-native platform for insurance, enabling insurers to provide affordable coverage for climate, cyber, and social inflation risks. It is a small, well-funded company backed by the investors behind Salesforce, Veeva, and Zoom, with a culture focused on first principles, learning, and fun.
Serve as a trusted technical advisor to data teams and executives, guiding them through Hex evaluations.
Own the technical sales cycle, including discovery, demos, proofs of concept, and initial deployment.
Partner with Account Executives to develop deal strategy and inform the product roadmap with customer feedback.
Hex is a collaborative analytics platform that combines notebooks, apps, BI, and AI-native workflows. Backed by over $100M from Sequoia, a16z, and others, it has a high-agency team shipping fast across the US and UK.
Build advanced data pipelines using Snowflake and AWS, leveraging AI-assisted development and Medallion Architecture.
Design analytical data models and write complex Python/SQL to ensure high performance and 99.95% uptime.
Mentor junior engineers and drive architectural improvements, supporting data governance and automation.
Spring Venture Group is a digital direct-to-consumer sales and marketing company specializing in Medicare Supplement and related products. It is a leading company with a family of brands and a dedicated team of licensed insurance agents, fostering a diverse and inclusive culture.
Own onboarding and deployment from day one post-close, getting customers live on Snowflake, Databricks, and adjacent stack components with configured monitors, alerts, and integrations.
Drive customers to consumption by ensuring they actively use what they bought and realize measurable value, not just technical deployment.
Unblock customers fast by diagnosing deployment issues, resolving edge cases, and removing obstacles between signed contract and fully operational environment.
Monte Carlo is the agent trust platform that unifies data and agent observability to monitor, troubleshoot, and improve production AI systems. Founded in 2019 and backed by leading investors, the company empowers data and AI teams to ship trusted AI at scale with a remote-first culture.
Lead impactful customer technical projects by delivering production-grade systems spanning data engineering, AI, and application development.
Guide strategic customers in implementing end-to-end big data and AI projects, including architecture, design, build, and deployment.
Empower customers by providing architecture guidance and ensuring solutions are secure, scalable, and aligned with Databricks best practices.
Databricks is the data and AI company. More than 10,000 organizations worldwide, including Comcast and Condé Nast, rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. The company is headquartered in San Francisco and fosters a diverse, inclusive culture.
Design and implement scalable data platforms using Snowflake, Databricks, and AWS.
Build AI-ready data architectures supporting analytics, ML, and LLM applications.
Establish data governance, security, and best practices while mentoring engineering teams.
The company is a partner organization that specializes in data and AI solutions. It operates with a remote-first culture and emphasizes collaboration and continuous learning.
Design and develop scalable batch and streaming data pipelines for customer experience analytics.
Build and optimize production-grade ETL/ELT workflows and data warehouse architectures.
Enable AI and machine learning analytics by developing curated datasets and feature pipelines.
itD is a consulting and software development company that blends diversity, innovation, and integrity. The company is woman- and minority-led and empowers employees to deliver great results.
Design, build, and deploy scalable ETL/ELT pipelines from diverse source systems into Snowflake Data Cloud.
Manage and optimize data flows within an AWS environment, leveraging Databricks and Python for high-scale processing.
Implement a Semantic Layer via dbt to standardize business logic, metrics, and dimensions for all downstream consumers.
Instructure creates intuitive products that simplify learning and personal development, amplifying the power of people to grow and succeed. They offer competitive benefits and a culture rooted in inclusivity, support, and meaningful connection.
Build and own the data platform backbone for governed reporting and trusted AI workflows on a small Data & AI team.
Drive architecture strategy, including ingestion patterns, Snowflake design, data contracts, and SLAs, while executing hands-on pipeline work.
Ensure data quality, governance, and reliability through observability, anomaly detection, and AI-enabled automation.
Fora Financial is a technology-enabled provider of flexible financing to small and medium-sized businesses. Since 2008, it has supported over 55,000 merchants with over $4 billion in capital and grown to nearly 200 employees with a collaborative, partner-centric culture.
Design, develop, and maintain scalable data pipelines and transformation workflows within Snowflake.
Build and optimize ELT/ETL processes using SQL, Python, Snowpark, dbt, and Snowflake-native capabilities.
Improve platform performance and cost efficiency through query tuning, warehouse right-sizing, clustering strategies, and workload isolation.
BlueCloud is a Snowflake Elite Partner that helps enterprise organizations migrate from legacy systems to unified, AI-ready Snowflake platforms. With over 450 Snowflake consultants and 200+ enterprise transformations, the company combines advisory-led thinking with AI-powered accelerators to deliver faster results.
Build and maintain data pipelines in Snowflake and dbt to support reliable, auditable reconciliation between internal and external systems.
Own and improve data workflows related to Claim Reimbursement and Contract Sales, ensuring accurate financial tracking and reconciliation with partners.
Partner closely with Accounting, Engineering, Operations, and Reporting to align and reconcile internal and external financial data.
Extend is revolutionizing the post-purchase experience for retailers and their customers by providing AI-driven solutions that enhance customer satisfaction and drive revenue growth. They work with over 1,000 leading merchants across industries, are backed by prominent investors, and are headquartered in San Francisco.
Partner directly with customers to identify data challenges and design technical solutions, connecting data sources and automating workflows.
Deploy and optimize AI-powered tools and workflows for customers, educating them on prompt engineering and LLM best practices.
Build and extend internal tooling (importers, parsers, and reporting pipelines) to reduce manual burden and improve platform reliability.
Standard Metrics is an AI-driven financial data platform that helps investors and portfolio companies make informed decisions with automated reporting and benchmarking tools. We are a team of optimistic product builders backed by 8VC and Spark Capital, trusted by top VC/PE firms.
Lead, coach, and develop a global team of data engineers while guiding technical architecture and delivery.
Build and scale large-scale data pipelines, production datasets, and QA systems using Databricks, Airflow, SQL, and PySpark.
Partner with product and research teams to transform complex data into reliable, production-grade assets for customers and internal applications.
YipitData is a leading market research and analytics firm that analyzes billions of alternative data points to provide actionable insights for the disruptive economy. The company recently raised $475M, operates globally with offices in the US, APAC, and India, and has been recognized by Inc. as a Best Workplace for three consecutive years.
Own the end-to-end data platform architecture from source systems to serving, deciding where the stack consolidates.
Design the path for order data as it moves off the legacy monolith onto a new source of truth.
Bring real modeling rigor and a single semantic layer for core metrics like revenue, conversion, and retention.
Owner is an AI-native platform that helps local business owners, starting with restaurants, run their operations including website, online ordering, CRM, and POS. The company has a team of low hundreds and fosters a remote-first, global culture.