• Understand partner and customer business needs and translate them into technical specifications and deployment plans • Configure and customize AI agent solutions, ensuring seamless integration with existing platforms (CRMs, booking tools, payment systems) • Own implementations end-to-end — from kickoff through go-live — managing stakeholders and driving projects to completion • Serve as the technical point of contact in partner conversations; present solutions confidently with minimal oversight • Identify and mitigate technical risks throughout the implementation lifecycle • Contribute to building scalable deployment practices as the team grows

Role Description We are seeking a Senior Data Solutions Consultant with deep expertise in Apache Spark and Databricks. This role requires a decisive, agentic-forward approach to problem-solving. You will independently lead complex customer engagements, bridging hands-on data engineering excellence with strategic technical leadership. As a trusted advisor, you will proactively build and implement solutions that unlock significant value for our customers. Key Responsibilities - Customer Leadership: Lead engagements from discovery to delivery with full ownership and accountability. - Architecture & Optimization: Architect, implement, and optimize large-scale Spark/Databricks workloads focusing on scalability and cost-efficiency. - Spark Expertise: Apply expert-level Spark fundamentals to troubleshoot and tune distributed data jobs and SQL workloads. - Proactive Delivery: Design and execute PoCs and workshops to demonstrate solution vision and inspire customer confidence. - Strategic Advocacy: Act as a technical advocate for customers, anticipating issues and applying creative, data-driven solutions. - Cross-functional Partnership: Collaborate with product and engineering teams to improve customer experience and platform features. - Mentorship: Champion best practices in PySpark, Databricks, and Lakehouse design while mentoring junior engineers. Qualifications - 5–10 years in data engineering or analytics solution delivery. - 3+ years of hands-on expertise in Databricks, including job optimization, debugging, and workload governance. - Deep understanding of Spark Internals, PySpark, and Databricks SQL (DBSQL) performance tuning. - Strong knowledge of Delta Lake, Structured Streaming, and cloud infrastructure. - Proven ability to identify and solve complex technical problems with minimal oversight. - Exceptional skills to simplify technical complexity for business leaders. Preferred Qualifications - Databricks Certified Data Engineer Professional. - Experience with Delta Live Tables (DLT) and Unity Catalog (UC). - Experience in large-scale data migration or AI-assisted analytics in enterprise environments.

• Join sales calls as the subject matter expert and lead technical demos for the Voices Recording Studio to build client trust and drive conversions. • Define and confirm technical requirements—including formatting, metadata, and JSON structures—during the RFP and project intake phases. • Curate and organize our resale data library, acting as the 'Source of Truth' to provide accurate samples and data-driven proposals for the sales team. • Review internal contracts to ensure technical feasibility and work closely with Legal and Finance teams to minimize operational risk. • Distinguish between flexible 'alternative' suggestions and 'strict' technical requirements to ensure project deliverables align perfectly with client infrastructure.

• Works across a broadly cross-functional, cross-solution team to design solutions matched with each client’s specific business needs • Engages with business and technical stakeholders to understand requirements and deliver solutions that drive business value • Models positive interaction with other internal groups at Blue Yonder and acts as a key contact for functional discussions as it relates to the Merchandise Operations solution • Provides oversight and mitigation to help manage escalations from Tier 1 / Tier 2 Blue Yonder customers • Interacts directly with Blue Yonder’s Merchandise Operations customers to develop a strong relationship and a clear understanding of processes, functions, integrations, etc. • Demonstrates excellence in service delivery to maintain a high level of customer satisfaction (CSAT) • Provides guidance on Root Cause Analysis process to help team reduce ongoing and repeat Incidents • Proactively suggests and gets involved in organizational initiatives contributing to the global processes to achieve success for Blue Yonder, its associates, and customers • Conducts functional analysis sessions with clients and/or the project team to understand the functional and technical needs of the client and develops business solutions to meet those needs.