• Demonstrate products and services within our platform that will be beneficial to Prospects • Preparing and delivering effective technical presentations & live overviews to assist in new Account acquisition • Enable Account Executives with new insights & feedback to drive new Account acquisition • Meet with clients at appointments for sales presentations • Drive evaluations by new Accounts to validate their Use Cases and prove out their sought business outcomes • Continuous learning of new technology as well as your understanding of our platform • Observing the high quality of Redwood’s ethical standards in presentations, proposals, and overall representation of the company, including professional image and appearance. • Teamwork: Must effectively build relationships with your Team & Company to ensure Customer needs are met and selling obstacles overcome. • Resourcefulness: Must be constantly curious and possess a growth mindset. • Competitive: Must possess initiative, confidence, and winning attitude. • Goal- & Outcome-Oriented: Should possess a proven track record of setting, exceeding, and tracking/measuring/communicating the progress of meaningful objectives and goals. • Detail-Oriented: Should be organized, able to plan and prioritize appropriately while demonstrating sound judgment and decision-making attributes. • Communication: Strong interpersonal skills to include verbal and written communication. • Dynamic Adaptability: Ability to shift course and change priorities, adeptly handling complex and dynamic requirements and deadlines with minimum impact to job responsibilities.

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.

• Accelerate the Product Lifecycle (PLC) across the organization by driving a single enterprise-wide best-practice of the systems engineering ecosystem with standardized frameworks and governance. • Lead training, coaching, and change management to ensure adoption across all business groups. • Monitor performance and drive continuous improvement. • Define and maintain enterprise-level systems engineering standards, tools, test methods, and design frameworks.

• Serve as a subject matter expert and strategist across Salesforce clouds, ensuring Signature Success inclusion in select sales opportunities and renewals. • Drive Signature Success revenue growth by partnering with sales teams to position and sell Signature Success plans. • Evangelize Signature Success plans both internally and externally. • Collaborate effectively with various parts of the organization, including core account executives, specialist license sales, Sales Productivity, Marketing, CSG Regional Leaders, Technical Support, and Offer Management. • Facilitate qualification, solution fit, pipeline progression, deal cycle participation, account reviews, and value assessments. • Provide product feedback to Offer Management based upon active field sales engagement.