Job Title:
Solution Architect – Data Analytics (Presales)
Company: 3i Infotech Ltd.
Location: Sangli, Maharashtra
Created: 2025-12-05
Job Type: Full Time
Job Description:
We are looking for a Solution Architect cum Presales Leader with deep expertise in Data Engineering, Analytics, and AI/ML solutions. This role requires a unique blend of technical architecture, presales solutioning, and client engagement skills to help win new business opportunities, design scalable solutions, and enable delivery excellence across global clients.Key ResponsibilitiesPresales & Client Engagement- Partner with sales and business teams to identify opportunities in Data Engineering, Analytics, BI, and AI/ML. - Conduct discovery workshops with clients to understand pain points, data landscape, and business objectives. - Prepare winning RFP/RFI responses, solution decks, cost models, and PoCs. - Deliver demos, technical presentations, and thought leadership sessions to CXO and senior stakeholders. - Define value propositions, ROI models, and differentiators for data/analytics opportunities.Solution Architecture & Design- Design end-to-end Data & Analytics architectures including: - Data Engineering: ingestion, pipelines, ETL/ELT, data lakes, warehouses, lakehouses. - Analytics: BI dashboards, reporting, self-service analytics, advanced analytics. - AI/ML Integration: predictive, prescriptive, NLP, GenAI, and data-driven automation. - Define reference architectures leveraging modern platforms (Snowflake, Databricks, BigQuery, Synapse, Redshift, etc.). - Architect scalable solutions on AWS, Azure, or GCP cloud ecosystems. - Ensure security, compliance, and data governance are embedded in solutions. - Build reusable assets, accelerators, and frameworks for faster presales cycles.Delivery Enablement & Governance- Collaborate with delivery leads to ensure solution feasibility and alignment. - Provide technical governance during transition/mobilization phases. - Define SLAs, KPIs, and governance frameworks for data & analytics programs. - Support estimation of efforts, resources, and delivery planning.Innovation & Thought Leadership- Drive innovation in AI/ML, GenAI for data, and modern data architectures (lakehouse, data mesh). - Mentor solution consultants and delivery architects on presales and solutioning best practices. - Represent the organization in conferences, client forums, and leadership workshops.Key Performance Indicators (KPIs)- Win ratio on data/analytics opportunities supported. - Revenue growth influenced by data/analytics deals. - Solution accuracy vs. delivery execution (variance ≤ 10%). - Number of PoCs, accelerators, and reusable assets created. - Customer CSAT/NPS for delivered data programs.Required Skills & QualificationsTechnical Skills- Strong expertise in Data Engineering: ETL/ELT, data lakes, warehouses, real-time streaming (Kafka, Kinesis, Spark, Flink). - Proficiency in Analytics & BI tools: Power BI, Tableau, Qlik, Looker. - Knowledge of Data Science/AI frameworks: Python (pandas, scikit-learn), TensorFlow, PyTorch, NLP/LLMs. - Experience with Cloud Platforms: AWS (Redshift, Glue, Athena), Azure (Synapse, Data Factory), GCP (BigQuery, Dataflow). - Familiarity with Data Governance, MDM, and Data Security frameworks. - Understanding of modern architectures: data mesh, data fabric, lakehouse.Presales Skills- Experience in preparing RFP/RFI responses, estimation models, and solutioning. - Excellent client communication, proposal writing, and presentation skills. - Ability to articulate ROI and business value in client conversations.General Skills- 5-10 years of IT experience, with at least 5+ years in solution architecture & presales. - Strong leadership, analytical, and stakeholder management skills. - Track record of winning Data/Analytics deals and enabling delivery success. - Willingness to travel for client workshops and presales engagements.Education & Certifications- Bachelor’s/Master’s in Computer Science, Engineering, or related field. - Preferred Certifications: - Cloud: AWS Data Analytics Specialty, Azure Data Engineer, GCP Professional Data Engineer. - BI: Microsoft Power BI, Tableau Specialist. - Architecture: TOGAF, Data Management certifications (DAMA/CDMP).