Ovii Job Board

Solution Engineer (Post-sales)

hevo

Pune, Maharashtra • Onsite - Pune, Maharashtra • Full-Time • 6+ years

Posted 2026-06-28 Customer Success & Delivery

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Job Description

Ovii's Interpretation of the Role

Hevo is looking for a senior Solution Engineer to act as the technical counterpart for enterprise customers, guiding architecture reviews, complex integrations, and expansion discussions. The role blends deep data‑engineering expertise with strong stakeholder communication to drive trust and growth in post‑sale engagements.

Role Snapshot

  • Post‑sales technical specialist
  • Enterprise data architecture advisor
  • Complex integration lead
  • Customer expansion catalyst
  • Internal knowledge contributor

Must-Have Requirements

  • Data engineering (ETL/ELT pipelines)
  • Cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks)
  • Data integration tools, CDC, event streaming, dbt
  • Architectural engagement with data infrastructure
  • Technical communication with engineers and executives
  • technical customer‑facing
  • data engineering

Nice-to-Have Signals

  • Pre‑sales/post‑sales SE experience in data SaaS
  • Enterprise data governance & compliance exposure
  • Startup/high‑growth B2B SaaS experience
  • pre‑sales/post‑sales SE experience
  • enterprise data governance exposure

Work Setup

  • Location: Pune, India
  • Work mode: ONSITE
  • Employment type: Full-Time

Not Specified in JD

  • Visa sponsorship
  • Salary range
  • Remote eligibility
  • Education requirement
  • Certifications
  • Relocation
  • Notice period
  • Travel
  • Security clearance
  • Coding test
  • Portfolio
  • GitHub
  • Writing sample
  • Cover letter

What You'll Likely Work On

  • Serve as senior technical specialist for architecture reviews, expansion talks, and high‑level technical engagements.
  • Partner with CTOs, senior engineers, and data architects to co‑design pipelines and challenge assumptions.
  • Lead technical discovery and solution design for enterprise use‑cases, migrations, and architectural changes.
  • Translate complex requirements into actionable guidance for customers and internal engineering teams.
  • Maintain deep expertise in the modern data stack, including cloud warehouses, orchestration, and transformation tools.
  • Identify expansion opportunities through technical engagement and hand them off to Account Managers.
  • Document patterns, build reference architectures, and raise the technical bar across the post‑sales team.

Good Fit If You Have

  • Thrives in ambiguous, fast‑moving environments with high autonomy.
  • Excels at influencing senior technical stakeholders and driving architectural decisions.
  • Can spot and nurture expansion opportunities through deep technical engagement.

Skills

  • Data engineering (ETL/ELT pipelines)
  • Cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks)
  • Data integration, CDC, event streaming, dbt
  • Architectural engagement with data infrastructure
  • Technical communication with engineers and executives
  • Adaptability in fast‑moving, autonomous environments
  • Pre‑sales/post‑sales SE experience in data SaaS (preferred)
  • Enterprise data governance & compliance exposure (preferred)
  • Startup/high‑growth B2B SaaS experience (preferred)