2 ΡΠ°ΡΠ° Π½Π°Π·Π°Π΄
Solution Engineer (Post-sales)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Π’Π΅ΠΊΡΡ:
TL;DR
Solution Engineer (Post-sales) (Data Engineering/SaaS): Designing and guiding enterprise data integrations, pipelines, and architectural solutions for Hevo customers with an accent on cloud data warehouses, orchestration, and the modern data stack. Focus on leading technical discovery, co-designing architectures with CTOs and data architects, and translating complex requirements into actionable customer and engineering guidance.
Location: Pune, Maharashtra, India; Workplace: On-site
Company
provides a fully managed, no-code data pipeline platform with integrations for databases, SaaS applications, advertising channels, cloud storage, SDKs, and streaming services.
What you will do
- Act as a senior technical specialist for complex enterprise customer conversations, including architecture reviews, expansion discussions, and senior-level technical engagements.
- Partner with CTOs, senior engineers, and data architects to understand architectures, challenge assumptions, and co-design data pipelines.
- Lead technical discovery and solution design for new use cases, migrations, and architectural changes involving Hevo.
- Translate complex customer requirements into actionable guidance for customers and Hevoβs engineering team.
- Build expertise in cloud data warehouses, orchestration, transformation, and the broader modern data stack.
- Document technical patterns, create reference architectures, and identify expansion opportunities for Account Managers.
Requirements
- 6+ years of experience in a technical, customer-facing role such as Solutions Engineering, Data Engineering, technical post-sales, or consulting.
- Deep knowledge of data engineering, including ETL/ELT pipelines, cloud data warehouses, orchestration, and the modern data stack.
- Hands-on experience with data integration tools, CDC, event streaming, or warehouse-native transformation such as dbt.
- Ability to engage at the architectural level and communicate effectively with both engineers and executives.
- Comfort working in an ambiguous, fast-moving environment with high autonomy.
Nice to have
- Pre-sales or post-sales Solutions Engineer experience at a data infrastructure or SaaS company.
- Exposure to enterprise data governance, compliance, or security requirements, including SOC 2, GDPR, or HIPAA.
- Experience in a startup or high-growth B2B SaaS environment.
Culture & Benefits
- Competitive compensation and/or equity.
- Direct access to leadership and influence over the development of the post-sales function.
- Collaborative, high-trust environment where technical depth is valued.
- Focus on enterprise customer trust and long-term technical relationships rather than ticket volume or response SLAs.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β
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