Data Architect/lead (India)

Data Architect/lead (India)

05 Nov
|
MResult
|
India

05 Nov

MResult

India

About MResult: Founded in 2004, MResult is a global digital solutions partner trusted by leading Fortune 500 companies in industries such as pharma & healthcare, retail, and BFSI. MResult’s expertise in data and analytics, data engineering, machine learning, AI, and automation help companies streamline operations and unlock business value. As part of our team, you will collaborate with top minds in the industry to deliver cutting-edge solutions that solve real-world challenges. Website: https://mresult.com/ LinkedIn: https://www.linkedin.com/company/mresult/ At MResult, you can leave your mark on projects at the world’s most recognized brands, access opportunities to grow and upskill, and do your best work with the flexibility of hybrid work models. Great work is rewarded, and leaders are nurtured from within. Our values — Agility, Collaboration, Client Focus, Innovation, and Integrity — are woven into our culture, guiding every decision. What This Role Requires: We are looking for an experienced Data Architect to provide technical leadership in defining data strategy, designing, developing, and evolving enterprise data architecture and analytics solutions. The Data Architect will work closely with business stakeholders, Business Analysts, Data Engineers, BI Developers, Solution Architects, and technology teams to translate business requirements into scalable, secure, governed, and maintainable data solutions. The ideal candidate should have strong experience across data strategy, data architecture, data modeling, semantic layer design, cloud data platforms, data integration, data governance, and business intelligence, with the ability to work across both strategic and implementation initiatives to operationalize data products for enterprise consumption.
Here is what you will do: Industry Preference: Biopharma / Pharmaceutical / CRO / Life Sciences experience is a significant advantage. Required

Skills:
• 10+ years of experience across data architecture, data engineering, semantic model design, analytics, and/or business intelligence roles.




• Proven track record of delivering enterprise-scale data and analytics solutions for biopharma/pharmaceutical clients.
• Robust communication and stakeholder management skills, with the ability to explain complex technical concepts and architecture decisions to technical and non-technical stakeholders.
• Ability to provide both strategic architectural direction and practical technical guidance to implementation teams.
• Hands-on experience with AWS data and analytics services, particularly Amazon S3, AWS Glue, Amazon Redshift, Amazon Athena, and related AWS services.
• Experience with AWS data platform migration or modernization initiatives.
• Experience designing and implementing enterprise semantic layers/models and reusable data products.
• Experience operationalizing data products across their lifecycle, from design and development through production deployment, governance, monitoring, and consumption.
• Experience designing and implementing data lakes, lakehouses, and/or data fabric architectures.
• Experience establishing enterprise data governance, data cataloguing, lineage, metadata, and data quality capabilities.
• Experience working with clinical, R&D;, laboratory, or regulatory data in Life Sciences environments.
• Understanding of regulatory and compliance requirements such as FDA, EMA, and GxP. Education & Certifications:
• Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, Engineering, or a related field.
• Relevant certifications in cloud architecture, data engineering, data architecture, or data governance are an advantage. Key Competencies:
• Data Strategy & Architecture
• Enterprise Data Architecture
• Cloud Data Architecture
• Data Modeling & Data Warehousing
• Data Engineering & Integration
• Semantic Layer Design and implementation.
• Data Lakes / Lakehouse Architecture
• Analytics & BI Architecture
• Operationalising data products.
• Data Governance & Quality
• Technical Leadership
• Stakeholder Management
• Strategic Thinking & Problem Solving

📌 Data Architect/lead (India)
🏢 MResult
📍 India

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