• Lead customer conversations on AI strategy and data modernization. • Design and demonstrate scalable data and AI solutions using SQL and Python. • Support enterprise Proof of Concepts from concept to value realization. • Translate complex technical concepts into measurable business outcomes. • Navigate objections and competitive dynamics in high-stakes sales cycles. • Leverage AI tools to personalize demos, accelerate preparation, and enhance delivery.

• Design and deliver integrated GIS solutions across enterprise applications, APIs, and data platforms • Develop full-stack custom geospatial applications and services where needed • Architect and implement spatial data flows, integrations, and pipelines across systems • Select and apply appropriate technologies based on solution needs • Produce clear, implementation-ready solution designs and technical documentation • Lead technical delivery, provide design oversight, and mentor team members • Implement secure, scalable, and reliable solution architectures • Build and maintain automated deployment pipelines and testing practices • Evaluate emerging technologies and contribute to platform and architectural evolution • Identify and remediate technical debt while ensuring continuity of service • AI is a key enabler in this role, practical experience applying AI is critical.

• 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.