Role: Data Architect
Experience: 12+ Years
Employment Type: Full-Time
Mode-Hybrid

Job Summary
We are looking for an experienced Data Architect to design, govern, and implement enterprise-scale data architecture, data platforms, data warehouses, data lakes/lakehouses, and analytics ecosystems supporting BI, Advanced Analytics, AI/ML, Generative AI, and digital transformation initiatives.
The ideal candidate should have robust expertise in Data Modelling, Data Warehousing, ETL/ELT, Cloud Data Platforms, Data Governance, Data Integration, SQL, and modern Data Engineering.
The role involves working closely with business stakeholders, Enterprise Architects, Data Engineers, Analysts, and AI/ML teams to build scalable, secure, highly available, and high-performing data solutions.

Key Responsibilities
Define and maintain enterprise Data Architecture strategy, standards, and roadmap.
Design conceptual, logical, and physical data models.
Architect Data Warehouses, Data Lakes, and Lakehouse solutions.
Design and optimize ETL/ELT pipelines, data integration frameworks,



and real-time data processing architectures.
Establish Data Governance, Metadata Management, MDM, Data Quality, Data Lineage, and Security standards.
Design cloud-based data platforms using AWS, Azure, or GCP.
Provide architecture guidance for BI, Analytics, AI/ML, and Generative AI initiatives.
Evaluate data technologies, storage solutions, integration tools, and performance optimization strategies.
Ensure compliance with applicable security, privacy, and regulatory standards such as GDPR, HIPAA, and ISO.
Lead architecture reviews, technical design discussions, and governance forums.
Mentor Data Engineers and Developers on architecture best practices, design patterns, and performance tuning.
Prepare and maintain architecture documents, data dictionaries, standards, and solution blueprints.

Mandatory Skills
12+ years of experience in Data Architecture, Data Engineering, or Enterprise Data Management.
Strong ex

📌 Data Architect (Pune)
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