Data Architect Lead

1 day ago

Ajmer, Rajasthan, India INFINIMINDS Full time
Role Overview

We are seeking a highly skilled Data Architect Lead to lead the design and implementation of data platforms and advanced analytics solutions at INFINIMINDS. The ideal candidate will have extensive experience in architecting and delivering cloud-based data platforms, AI/ML technologies, and data governance frameworks.

Key Responsibilities
  • Pre-Sales Activities
    • Engage with potential clients to understand their data needs, challenges, and objectives.
    • Lead discovery sessions, gather requirements, and develop high-level solution architectures for data and analytics initiatives.
    • Prepare and present compelling proposals, solution demos, and proof of concepts that demonstrate the value of data and analytics services.
    • Respond to RFPs/RFIs by developing solution architecture, resource estimates, and project timelines.
    • Collaborate with the sales and technical teams to define the scope, costs, and risks associated with proposed solutions.
    • Serve as a subject matter expert (SME) for data management, analytics, and AI/ML technologies, providing insights and technical leadership during client engagements.
  • Delivery Responsibilities
    • Lead the design and implementation of data platforms and advanced analytics solutions, ensuring alignment with client goals and industry best practices.
    • Architect scalable and secure data solutions using cloud technologies (preferably Azure), SQL, data lakes, data warehouses, and analytics platforms.
    • Oversee the development of data pipelines, ETL processes, data integration solutions, and analytics dashboards using Power BI or similar tools.
    • Ensure the successful delivery of AI/ML projects, including model development, deployment, and operationalization.
    • Implement data governance frameworks to ensure data quality, security, and compliance across platforms.
    • Manage project teams, mentor technical staff, and provide hands-on technical guidance where needed.
    • Interface with key stakeholders to manage project timelines, risks, and escalations while maintaining strong communication with clients.
    • Conduct regular solution reviews and health checks to optimize existing data architectures and identify opportunities for improvement.
  • Solution Development & Thought Leadership
    • Stay updated with the latest trends in data, analytics, and AI technologies to ensure client solutions remain innovative and competitive.
    • Develop and contribute to reusable frameworks, best practices, and templates that improve delivery efficiency and consistency.
    • Participate in industry forums, conferences, and webinars to represent INFINIMINDS and promote its data expertise.
    • Lead internal knowledge-sharing sessions and contribute to the development of white papers, case studies, and blog posts.
    Qualifications
    • Minimum 15 years of experience in data architecture, analytics, and business intelligence, with a focus on enterprise-scale solutions.
    • Strong expertise in architecting and delivering cloud-based data platforms (preferably Azure) including Azure Data Factory, Azure Synapse Analytics, Azure SQL Database, and Power BI.
    • Experience with AI/ML technologies, such as Azure Machine Learning, Python, R, or other data science platforms.
    • In-depth knowledge of data modeling, data warehousing, and ETL/ELT pipelines.
    • Expertise in data governance, security, and compliance best practices (GDPR, HIPAA, etc.).
    • Strong understanding of big data architectures and tools such as Spark, Hadoop, Databricks, and data lakes.
    • Excellent client-facing communication and presentation skills, with a proven ability to translate complex technical concepts into business value.
    • Experience leading pre-sales activities, including client discovery, solution architecture, and RFP responses.
    • Strong project management and leadership skills with experience managing cross-functional teams.
    • Relevant certifications such as Microsoft Certified: Azure Solutions Architect Expert, Microsoft Certified: Data Engineer Associate, or similar are highly preferred.
    Preferred Skills
    • Experience with additional cloud platforms (AWS, Google Cloud) is a plus.
    • Knowledge of data visualization and reporting tools beyond Power BI (e.g., Tableau, Qlik).
    • Experience with data migration tools like Talend, Informatica, or Azure Data Factory.
    • Familiarity with DevOps practices and tools for data pipeline automation and deployment.

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