Key Responsibilities:1. Technical Solutioning & Architecture:- Lead technical discovery sessions, customer workshops, and requirement-gathering discussions.- Design end-to-end solutions across Databricks, Snowflake, AWS, Azure, data engineering, and enterprise AI workloads.- Develop scalable architectures for data ingestion, transformation, integration, analytics, and cloud modernization.- Support AI, Generative AI (GenAI), Agentic AI, and ontology/context-driven use cases in collaboration with the CTO.- Understand enterprise data landscapes, including SAP systems, SAP data mapping, and integration with modern data platforms.- Create architecture diagrams, technical designs, implementation roadmaps, assumptions, dependencies, and risk assessments.- Build reusable reference architectures, frameworks, accelerators, and solution components.2. Presales & Customer Engagement:- Lead technical presales activities and solution discovery for prospective and existing customers.- Collaborate with the VP Growth & Revenue and sales teams to qualify opportunities and develop solution approaches.- Translate business requirements into technical architectures, proposals, and implementation plans.- Support RFP/RFI responses, technical presentations, solution walkthroughs, and customer discussions.- Prepare and validate technical inputs for Statements of Work (SOWs), including scope, deliverables, assumptions, dependencies, and timelines.- Build demos, prototypes, proof of concepts, and focused pilots to demonstrate solution feasibility and business value.3. Estimation, Budgeting & Commercial Awareness:- Prepare project effort estimates, resource plans, timelines,



and implementation cost assessments.- Develop realistic estimates based on technical scope, complexity, team composition, infrastructure requirements, and delivery approach.- Identify risks, dependencies, assumptions, and potential scope changes that may affect delivery costs.- Partner with business and delivery stakeholders to ensure proposals are commercially viable.- Support pricing discussions, margin protection, and cost optimization through sound technical decisions.4. Hands-on Delivery & Billability:- Maintain meaningful billability by contributing directly to customer engagements and technical delivery.- Balance billable project work with priority presales, discovery, and solution development activities.- Build and validate prototypes, technical components, data pipelines, and focused implementation pilots where required.- Support delivery teams in resolving architectural challenges and validating technical decisions.- Ensure a smooth handoff from presales to delivery, with clear documentation of scope, architecture, estimates, risks, and customer expectations.5. Collaboration & Technical Leadership:- Work closely with the CTO on architecture decisions, emerging AI use cases,



and technical solution validation.- Collaborate with the VP Growth & Revenue and Directors on priority opportunities and customer engagements.- Bridge the gap between business objectives, technical feasibility, and commercial outcomes.Required Skills & Qualifications:- 8 - 12+ years of experience in data engineering, cloud architecture, solution architecture, or enterprise technology consulting.- Robust 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.- Strong customer communication, presentation, stakeholder management, and commercial awareness.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. (ref:hirist.tech)

📌 Muoro - Solution Architect (India)
🏢 Muoro
📍 India