- Experience
- 8+ yrs
- Location
- Remote (India)
Required skills
- Technical Solutioning & Architecture
- Technical Leadership
- Presales
About the role
Required Skills & Qualifications
- 8–12+ years of experience in data engineering, cloud architecture, solution architecture, or enterprise technology consulting.
- Strong expertise in Databricks and/or Snowflake, with a solid understanding of modern data platforms.
- Strong understanding of data engineering, data integration, ETL/ELT, data warehousing, and cloud-based architectures.
- Experience with Azure and/or AWS; GCP exposure is an advantage.
- Mandatory prior experience in technical presales, solution consulting, or customer-facing solution architecture.
- Mandatory experience in effort estimation, project budgeting, resource planning, and costing.
- Understanding of SAP systems, enterprise data mapping, and integration with modern data platforms.
- Exposure to AI, GenAI, Agentic AI, RAG, or ontology/context-driven enterprise use cases.
- Ability to create architecture diagrams, technical proposals, implementation plans, and SOW inputs.
- Strong customer communication, presentation, stakeholder management, and commercial awareness.
- Ability to balance hands-on technical work, billable engagements, and presales responsibilities.
Preferred Qualifications
- Experience with SAP S/4HANA, SAP BW, or other SAP data ecosystems.
- Experience integrating SAP data with Databricks, Snowflake, or cloud data platforms.
- Exposure to enterprise AI architecture, knowledge graphs, semantic layers, ontologies, and contextual data systems.
- Relevant Databricks, Snowflake, AWS, or Azure certifications.
- Experience developing reusable solution accelerators and leading enterprise pilot engagements.
Key Performance Indicators (KPIs)
Performance will be measured against the following parameters:
- Billability: Achievement of agreed billable utilization targets.
- Proposal Turnaround: Timely completion of technical proposals, estimates, and architecture deliverables.
- Solution-to-Win Conversion: Contribution to converting qualified opportunities into successful engagements.
- Estimation Accuracy: Alignment between estimated effort, cost, timelines, and actual delivery requirements.
- Margin Protection: Technically sound solutions that protect project profitability and reduce delivery risk.
- Pilot Conversion: Successful progression of demos, prototypes, and pilots into paid engagements.
- Handoff Quality: Completeness and accuracy of documentation and transition from presales to delivery.
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