Data Architect - Only Immediate To 30 days joiners @ Pan India

Job Description

Job Title: Data Architect

Location:

Bangalore ,Hyderabad,Chennai, Pune, Gurgaon - hybrid- 2/3 days WFO

Experience: 8+ years

Position Overview:

We are seeking a highly skilled and strategic Data Architect to design, build, and maintain the organizations data architecture. The ideal candidate will be responsible for aligning data solutions with business needs, ensuring data integrity, and enabling scalable and efficient data flows across the enterprise. This role requires deep expertise in data modeling, data integration, cloud data platforms, and governance practices.

Key Responsibilities:

• Architectural Design: Define and implement enterprise data architecture strategies, including data warehousing, data lakes, and real-time data systems.
• Data Modeling: Develop and maintain logical, physical, and conceptual data models to support analytics, reporting, and operational systems.
• Platform Management: Select and oversee implementation of cloud and on-premises data platforms (e.g., Snowflake, Redshift, BigQuery, Azure Synapse, Databricks).
• Integration & ETL: Design robust ETL/ELT pipelines and data integration frameworks using tools such as Apache Airflow, Informatica, dbt, or native cloud services.
• Data Governance: Collaborate with stakeholders to implement data quality, data lineage, metadata management, and security best practices.
• Collaboration: Work closely with data engineers, analysts, software developers, and business teams to ensure seamless and secure data access.
• Performance Optimization: Tune databases, queries, and storage strategies for performance, scalability, and cost-efficiency.
• Documentation: Maintain comprehensive documentation for data structures, standards, and architectural decisions.

Required Qualifications:

• Bachelors or masters degree in computer science, Information Systems, or a related field.
• 5+ years of experience in data architecture, data engineering, or database development.
• Strong expertise in data modeling, relational and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB, Cassandra).
• Experience with modern data platforms and cloud ecosystems (AWS, Azure, or GCP).
• Hands-on experience with data warehousing solutions and tools (e.g., Snowflake, Redshift, BigQuery).
• Proficiency in SQL and data scripting languages (e.g., Python, Scala).
• Familiarity with data privacy regulations (e.g., GDPR, HIPAA) and security standards.

Tech Stack

• AWS Cloud S3, EC2, EMR, Lambda, IAM, Snowflake DB
• Databricks
• Spark/Pyspark, Python
• Good Knowledge of Bedrock and Mistral AI
• RAG & NLP
• LangChain and LangRAG LLMs
• Anthropic Claude, Mistral, LLaMA etc.,

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Keyskills:   Data Architecture AWS SQL Python Pyspark bedrock databricks Data Lake Spark ETL mistral