Senior Solutions Consultant - Hadoop Operations
AcceldataMaryland, United States
Posted November 3, 2025
Full Time
About the Company
Acceldata is a data observability and agentic data management company that empowers enterprises to deliver trusted data for AI and other initiatives. Built on the world’s first enterprise data observability platform, its xLake Reasoning Engine drives automated data discovery, quality, and pipeline monitoring across hybrid cloud environments and leading data warehouses such as Snowflake, Databricks, AWS, Azure, and Google Cloud. Acceldata’s solutions are adopted by global leaders—including Nestlé, Dun & Bradstreet, and Hershey—highlighting its ability to scale complex data operations while ensuring reliability and performance. With backing from top venture firms and a culture that champions rapid innovation, Acceldata offers a compelling environment for data professionals seeking to shape the future of data-driven organizations.
Job Description
We are looking for a Solutions Consultant to join our Solutions and Services team. As a Solutions Consultant, you will work with customers on short to medium term engagements to implement data observability needs using our Open Data Platform.
Requirements
- 12+ years of experience in customer engineering, data platforms & cloud technology projects that require integration to meet customer needs.
- 8+ years of experience in customer-facing product implementation.
- Experience in successfully managing multiple B2B infrastructure software development projects, including driving expansion, customer satisfaction, migration, feature adoption, and retention.
- Comfortable writing code in either Python or Scala.
- Design and deploy performant end-to-end data architectures and solve complex migrations and deployments.
- Consult on design and architecture; implement strategic customer projects that lead to customers' successful understanding, evaluation, and adoption of Acceldata Data Observability Cloud.
- Good understanding of Data management concepts like Data Quality, Data Catalog and Data Governance.
- Hands-on experience with two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one.
- Strong desire to tackle hard technical problems in Hadoop + cloud and proven ability to do so with little or no direct daily supervision.
- Previously worked with the customer engineering team to provide high-level support for data operational issues.
- Experience operating Linux systems (configure, tune, and troubleshoot both Red Hat and Debian-based distributions).
- Excellent communication skills, with an ability to clearly and concisely explain tricky issues and complex solutions.
- Ability to quickly learn new technologies and willingness to support working in different time zones, and may be required to travel up to 50% of the time to meet with customers.
Benefits
- Comprehensive benefits package
- Generous Paid Time Off
- 401k Matching
- Tuition Reimbursement