Solution Architect

21 hours ago

Navi Mumbai, Maharashtra, India Innovation Consulting Services Full time ₹ 15,00,000 - ₹ 20,00,000 per year

Job Title : Solution Architect

  • Data AnalyticsLocation : Seawoods, Navi MumbaiExperience : 15 YearsNotice Period : 30-45 Days (Max)Total Interview Rounds : 4 (Final Round F2F with Client)Interview Mode : MS TeamsWork Mode : Onsite
  • Role Overview :We are seeking an experienced Solution Architect
  • Data Analytics to lead enterprise data transformation initiatives.

This role requires expertise in hybrid data architectures (on-prem & cloud), modern analytics platforms, big data frameworks, and AI/ML-driven insights. The ideal candidate will work closely with SMEs, architects, data scientists, and analytics engineers to define business-driven data strategies and implement scalable analytics solutions. Key Responsibilities :1. Consulting & Advisory :

  • Assess customers' evolving data and analytics landscape, identifying gaps and opportunities for modernization.
  • Provide thought leadership on industry best practices & advanced analytics trends.
  • Define data-driven business strategies aligning technology with business goals.
  • Develop business cases for analytics initiatives, demonstrating long-term value.2.

Architecture & Solutioning :

  • Evaluate and design data architectures & analytical use cases.
  • Develop reference architectures & roadmaps for data analytics solutions.
  • Ensure security, compliance, and governance in solution design.3.

Implementation & Enablement :

  • Support POCs & pilot projects to validate analytics solutions.
  • Ensure scalability, performance optimization, and best practices in implementation.
  • Establish robust data management & analytics pipeline orchestration.4.

Client Engagement :

  • Conduct executive briefings & workshops on analytics trends.
  • Act as a trusted advisor for data leadership teams during transformation journeys.

Required Skills & Qualifications :

  • 16 years of experience in data architecture, analytics, and cloud consulting.
  • Expertise in hybrid data platforms integrating on-premises & cloud (AWS, GCP) environments.
  • Strong background in data engineering, ELT/ETL pipelines, big data frameworks, and cloud analytics.
  • Experience with modern data lakehouse architectures and operations enablement.
  • Proficiency in SQL, Python, Apache Spark, Snowflake, Databricks, and distributed computing platforms.
  • Strong business acumen to develop and present business cases for analytics transformation projects.
  • Experience in Data Science, Machine Learning, MLOps, and Gen AI-based use cases.
  • Hands-on experience in Data Cataloging, Data Observability, and Data Lineage.
  • Excellent communication and stakeholder management skills.
  • Domain experience in Insurance is a plus.

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