Enterprise Solutions Engineer - Data & BI Platform

Zoho USA • Austin, TX

40d • Onsite

About The Position

As an Enterprise Pre-Sales/ Solutions Engineer on our Data & Analytics Platform team, you will be the technical expert throughout the enterprise sales cycle; partnering with account executives and prospective customers to understand their business and technical objectives, lead discovery, and architect tailored solutions across the full data lifecycle, from ingestion and unification to analytics, activation, and AI. You will own the technical win.
You will become a trusted advisor and an expert across Zoho’s data and analytics platform. You will use this expertise to map our capabilities to enterprise requirements, demonstrate our solutions at their best, and equip stakeholders, from analysts to C-level executives, to make confident, well-informed decisions, while sharing strategic recommendations and best practices.
This is a chance to join a growing team as one of the first U.S.-based pre-sales engineers focused on our data and analytics platform. The role is built for someone who can engage credibly at the enterprise level about an end-to-end platform - not just dashboards - navigate complex, multi-stakeholder evaluations and proof-of-concepts, and who is energized by the shift toward agentic AI and wants to apply it in real, optimized customer environments. As the product line scales in the U.S., so will your opportunity for career growth and increased responsibility.

Requirements

• Proven experience in an enterprise pre-sales / solutions engineering, technical pre-sales, or other senior, client-facing technical role — ideally selling to or supporting enterprise accounts.
• Previous experience in a data analyst, data engineering, or analytics-engineering role, with a strong ability to interpret complex datasets, generate actionable insights, and communicate findings effectively.
• Excellent communication and presentation skills, including product demos and presenting insights clearly through visualizations and dashboards, with the ability to explain complex technical and data concepts to non-technical audiences and C-level executives.
• Comfort navigating complex, multi-stakeholder enterprise evaluations, POCs, and procurement processes.
• Strong understanding of relational databases, data warehouses, and data lakehouse architectures, including integrating, manipulating, and modeling data from many sources.
• Hands-on experience building data pipelines and ETL/ELT processes using tools such as DataPrep, Alteryx, Talend, or dbt to prepare, cleanse, and enrich data.
• Familiarity with multiple ingestion patterns like real-time/streaming, batch, ETL, and zero-copy — and with first-party, third-party, cloud, and on-premise sources.
• Experience designing semantic layers, common/shared data models, and reusable business context for analytics and AI.
• Proficiency with programming languages such as Python and SQL.
• Experience with BI and data platform products such as Zoho Analytics, Power BI, Tableau, Qlik, Snowflake, Google BigQuery, Amazon Redshift, Databricks
• Ability to design and deploy reports and dashboards within a BI platform using data from a variety of sources.
• Practical, hands-on experience using modern AI and agentic tools, with the ability to apply them effectively in an optimized environment and go deep when needed.
• Experience building, orchestrating, or demonstrating AI agents and AI-assisted workflows — connecting them to data, APIs, MCPs and business actions.
• Familiarity with data-science and machine-learning concepts such as regression, clustering, and classification, and how they enhance data analysis.
• Awareness of data governance fundamentals — role-based access control, auditing, privacy, security, observability, and data cataloging — and the ability to speak to them with security-conscious customers.
• Individuals who learn on the job and do independent research as needed are most successful here. Self-starters piece together the platform and the broader Zoho ecosystem best and fastest.
• Successful applicants undergo a standard background check.
• To ensure compliance with federal and state employment eligibility laws, all candidates must possess the legal right to work in the United States at the time of application. This includes: being a U.S. citizen, being a non-citizen with authorized work status, or holding a valid work visa that does not require sponsorship by Zoho for a visa status or renewal. Zoho is unable to offer sponsorship for this position for work visas, including but not limited to H-1B visas.

Nice To Haves

• Good to have bachelor’s degree in Computer Science or IT or a related field (or equivalent experience).
• Bonus: exposure to retrieval/vectorization, prompt design, and grounding AI on governed, unified data and a semantic layer.

Responsibilities

• Serve as the technical expert in enterprise sales cycles, partnering with account executives to qualify opportunities, lead discovery, and drive the technical win for Zoho Analytics, DataPrep, and the wider data platform.
• Lead solution architecture, proofs-of-concept (POCs), and pilots that span data sources, ingestion, the data lakehouse, unification, and downstream analysis and activation.
• Build customized dashboards, reports, and data models that combine data from many enterprise applications and sources to demonstrate measurable business value.
• Design semantic layers and a common object model, and demonstrate how unified business context drives trustworthy enterprise analytics and AI.
• Showcase agentic AI capabilities — building, configuring, and demonstrating AI agents and AI-assisted workflows that operate over governed, unified data.
• Deliver tailored product demonstrations, technical workshops, and executive presentations that show our solutions in their best capacity.
• Prepare and deliver compelling technical proposals and responses to RFPs, RFIs, and security questionnaires.
• Address enterprise requirements around scalability, integration, and data governance, and act as a trusted technical advisor to customer stakeholders.
• Provide internal enablement to sales and technical teams who need analytics, data-engineering, or AI expertise, including how the data platform interacts with the broader Zoho ecosystem of business software.
• Capture field and competitive insights and share them with product and R&D teams to influence the roadmap.
• Working on onboarding sessions for new customers and serve as a bridge to our support engineers when clients need extra assistance.

Benefits

• We prefer long-term employees and invest in our people to earn their loyalty.
• We care most about flexibility, values, and ambition.
• We consciously eschew the “cool tech-company” vibe because we value work-life balance and a down-to-earth culture.
• We are a low-ego company. Our people hold high expectations about doing great work, job satisfaction, and long-term work-life balance, and low expectations about hierarchy, status, and clout.
• At home in a diverse, multicultural workplace
• Quick on their feet
• Comfortable with ambiguity and complexity
• Flexible and patient, with an “all hands on deck” attitude
• Comfortable giving and receiving constructive feedback for the benefit of the team
• Authentic

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree