Lead the overall technical architecture of a graph-based data product, AI services, and developer platform, ensuring scalability, security, and maintainability.
Define the technical direction, align teams across components, and develop the technical roadmap in collaboration with the product team and stakeholders.
Drive the evolution of the data and AI foundation, including knowledge models, data pipelines, and production use of LLMs, RAG, and agentic systems.
Haufe Akademie is a leading provider of professional development solutions in Germany, offering innovative learning technologies and a wide range of formats and topics. As part of the Haufe Group, they are officially certified as a Great Place to Work® and value diversity, tolerance, and fairness.
Build automation and Infrastructure as Code for scalable, self-service database provisioning and operations.
Ensure reliability and performance of relational databases like PostgreSQL and Aurora through deep expertise.
Collaborate with engineering teams to integrate data pipelines and reduce operational toil across diverse datastores.
Gemini is a global crypto and Web3 platform founded in 2014, offering crypto products in over 70 countries. As a publicly traded company, it focuses on bridging traditional finance with the cryptoeconomy and scaling engineering teams.
Design and maintain large-scale cloud data infrastructure for healthcare applications.
Build efficient ETL pipelines, self-service tools, and microservices using Azure, Snowflake, and Databricks.
Collaborate with product owners and team leads to define efficient data pipelines and schemas.
Sigma Software is an IT solutions company delivering innovative technology to global clients across multiple industries. They foster a supportive environment with cutting-edge technologies and meaningful projects.
Design and implement scalable, reliable data store solutions for online and analytical workloads.
Manage and optimize SQL Server and MySQL databases, including schema design, query tuning, replication, backup/recovery, and performance monitoring.
Collaborate with data engineering and data science teams to deliver scalable, flexible solutions and contribute to data governance and security initiatives.
SurveyMonkey is the world’s most popular platform for surveys and forms, combining powerful capabilities with intuitive design. Trusted by millions from startups to Fortune 500 companies, it is a global company with over 25 years of history and a culture that champions inclusion and curiosity.
Ensure reliability, scalability, and operational excellence of analytics and data systems.
Provide technical leadership and direction to an offshore contract team.
Drive incident response, automation, and data governance initiatives.
Workiva provides an AI-powered platform that unifies finance, risk, and sustainability for complex organizations. It is a large enterprise with a collaborative and innovative culture centered on data integrity and trust.
Serve as the technical lead and pillar head for Data Platform Engineering, defining and evolving the enterprise 10-Layer Data & AI Operating System.
Architect and deploy the centralized Metadata Control Plane and automated Data Catalog, driving GitOps and Data-as-Code practices.
Design and govern enterprise AI infrastructure standards, including Vector Databases, Knowledge Graphs, and RAG pipelines.
Avery Dennison is a global materials science and digital identification solutions company with locations in over 50 countries and approximately 35,000 employees worldwide. They foster a culture of curiosity and courage, encouraging diversity of thought and collaboration.
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.
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.
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.