Presales Solution Architect- Data Analytic - Navi Mumbai - 3i Infotech Limited

    3i Infotech Limited
    3i Infotech Limited Navi Mumbai

    4 days ago

    Full time
    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 Responsibilities

    Presales & 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 & Qualifications

    Technical 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.

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