The Data Architect at Elite Technology will play a pivotal role in shaping the data architecture and reporting strategy for our platform, requiring a deep understanding of data management, cloud technologies, and the ability to design scalable and efficient data solutions, working with engineering teams to deliver products to market, and extensive experience with Azure services.

Join the Field Engineering team as a Solutions Architect, leading the evaluation, implementation, and adoption of dbt for our largest enterprise and commercial customers. You'll design enterprise-grade data pipelines with dbt Cloud, work with sales to communicate technical value, and guide customers through proof-of-concept implementations.

The Data Architect at Elite Technology will shape the data architecture and reporting strategy for our platform. This role requires a deep understanding of data management, cloud technologies, and the ability to design scalable and efficient data solutions. Architects are hands-on, working with engineering teams to deliver products to market.

As a Senior Data Solutions Developer, you will play a pivotal role in developing and maintaining our reporting infrastructure and ensuring the integrity of our reporting suites by leveraging tools such as Looker, DBT, and SQL. You will design, implement, and optimize reporting solutions that drive actionable insights for key stakeholders.

An experienced Data Project Manager is needed to lead and manage data projects with a focus on PySpark and Delta Lake technologies. The ideal candidate will oversee the planning, execution, and delivery of data-related projects while providing technical expertise in data architecture. This role requires a combination of project management skills, technical knowledge, and strong leadership abilities to ensure successful outcomes.

Oversee the creation, implementation, and maintenance of master data management solutions as well as a team of analysts to analyze and enrich master data elements and optimize data flow between users and stakeholders. Design, develop, and maintain data models using dbt (data build tool) to support analytical and reporting requirements. Create interactive and visually appealing dashboards.

The Lead Data Analyst will join the analytics team to create high value analytics for Arcadia’s innovative customers. You will lead the intake process and execution of complex analytics requests, build new tables and functionality and deliver actionable insights to stakeholders in a collaborative environment. You will serve as subject matter expert and contribute to process improvement, enhance data usability and identify opportunities to enhance Arcadia’s product.

You'll play a crucial role in developing and maintaining scalable data pipelines and infrastructure to drive data analytics and machine learning solutions for our clients. Responsibilities include designing and developing data pipelines, collaborating with data architects, and ensuring data quality and governance. You will also monitor and optimize performance and provide mentorship.

Explore the blockchain ecosystem to detect opportunities and risks. Optimize the economy for the validation process, including research, modeling, and improving business processes. Design and develop end-to-end data solutions, from initial analysis and model development to deployment, optimizing for performance and scalability. Provide informative dashboards to the team, company, and community.

Build, optimize, and maintain data pipelines that power our business. Define and build out abstracted reusable data sets to be used for Business Intelligence, Marketing, and Data Science Research. Design, build, and evangelize a federated data validation framework to be used to monitor potential data inconsistencies. Protect our users’ privacy and security through best practices.