Note: This role requires candidates to be US Citizens.
Valorem Reply is an award-winning digital transformation firm focused on delivering data-driven enterprise, IT modernization, customer experience, product transformation and digital workplace. Through the expertise of their people and power of Microsoft technologies, they provide hyper-scale and agile delivery of unique digital business services, strategic business models and design-led user experiences. Their innovative strategies and solutions securely and rapidly transform the way their clients do business.
The Senior Data Engineer will lead the creation of high-value data-driven solutions, leveraging Valorem Reply's proven implementation methodology and solutions for enterprise projects. They will also contribute to technical pre-sales activities as required. The responsibilities include designing solution architecture, defining requirements, and leading the project delivery team. There will be an opportunity to work with and learn about the latest cloud solutions in an exciting work environment. This position will work collaboratively across all of Valorem Reply's sales, service delivery, and account management organizations to serve Valorem Reply's customers.
This position will represent Valorem Reply's approach to advanced data engineering solutions and, as such, must demonstrate proficiency at the architecture level. It will require an understanding of how advanced analytics are positioned to meet business objectives and how data translates to business and enterprise value. The role will also involve implementing the Data Lakehouse solution through people, processes, and technology. This is a hands-on role, leading, coding, and delivering on the most advanced cloud data analytics platforms available. Projects will span from workshops to full enterprise production end-to-end solutions.
The ideal candidate will have extensive experience with Microsoft/Azure data services and Databricks technology. Proficiency with the Databricks platform and the implementation of enterprise Data Lakehouse solutions will be required. Candidates will be expected to contribute to all stages of the data lifecycle, including data ingestion, data modeling, data profiling, data quality, data transformation, data movement, and data curation. The candidate should be familiar with market challenges in multiple industry verticals and have experience with both traditional and modern technologies across the Microsoft technology stack.