Enterprise Solutions Engineer - Data & BI Platform

Zoho; Austin (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Zoho is seeking an Enterprise Pre‑Sales/Solutions Engineer for its Data & Analytics Platform in Austin. You will be the technical expert across the enterprise sales cycle, mapping capabilities to requirements, and architecting tailored solutions from data ingestion to AI-powered analytics.

You will lead POCs, pilots, and technical demonstrations for executives and analysts, and enable sales with deep analytics expertise and governance awareness.

Qualifications

• Proven enterprise pre-sales or technical pre-sales experience with enterprise accounts.
• Experience interpreting complex datasets, generating insights and communicating findings.
• Excellent demos and presentation skills to C-level audiences.
• Comfort navigating multi-stakeholder evaluations, POCs and procurement processes.
• Bachelor's degree in CS/IT or related field (or equivalent).
• Strong understanding of relational databases, data warehouses, and data lakehouse.
• Hands-on experience building data pipelines and ETL/ELT tooling.
• Familiarity with real-time, batch, ETL and various data sources.
• Experience designing semantic layers and reusable data models.
• Proficiency in Python and SQL.

Responsibilities

• Serve as the technical expert in enterprise sales cycles, partnering with account executives to qualify opportunities and drive the technical win.
• Lead solution architecture, POCs, and pilots across data sources, ingestion, lakehouse, unification and activation.
• Build dashboards and data models combining data from enterprise apps to show business value.
• Design semantic layers and a common data model to support analytics and AI.
• Showcase AI capabilities and AI-assisted workflows over governed data.
• Deliver technical proposals and responses to RFPs/RFIs.
• Address scalability, integration, and governance requirements for customers.
• Provide internal enablement to sales and engineering teams.
• Capture field insights to influence product roadmaps.

Skills

Enterprise pre-sales eng

Data analytics

Python

SQL

BI tools

Zoho Analytics

Power BI

Tableau

Snowflake

BigQuery

Redshift

Databricks

ETL/ELT pipelines

Data pipelines

Semantic layer design

Education

Bachelor's degree in CS/IT

Tools

DataPrep

Alteryx

Talend

dbt

Job description

Location: Austin, TX (in-person at 979 Springdale Road, Suite 123, Austin, TX 78702)

Type: Full-Time, In-Office

About the Role

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.

What You’ll Do

• 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.
• Work on onboarding sessions for new customers and serve as a bridge to our support engineers when clients need extra assistance.

What We’re Looking For:

Core Experience

• 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.
• Good to have bachelor’s degree in Computer Science or IT or a related field (or equivalent experience).
• 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 such as 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.

AI & Agentic Tooling

• 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.
• Bonus: exposure to retrieval/vectorization, prompt design, and grounding AI on governed, unified data and a semantic layer.

Data Governance

• 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.

The most successful team members are:

• 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
• Zoho Corp. is an equal opportunity employer and is committed to providing a work environment free of discrimination on the basis of sex, race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, gender, gender identity, gender expression, age, sexual orientation, military status, veteran status or any other basis protected by federal, state or local law.

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.