Data Architect

12 hours ago


Mumbai, Maharashtra, India NR Consulting Full time ₹ 20,00,000 - ₹ 25,00,000 per year

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About the Company

We are seeking a highly experienced Data Architect with over 10 years in IT and at least 4+ years in data architecture or principal data engineering roles. The ideal candidate will design, implement, and govern large-scale data platforms in cloud environments, ensuring performance, scalability, and security.

About the Role

We are seeking a highly experienced Data Architect with over 10 years in IT and at least 4+ years in data architecture or principal data engineering roles. The ideal candidate will design, implement, and govern large-scale data platforms in cloud environments, ensuring performance, scalability, and security.

Responsibilities

  • Design and govern enterprise data architecture, including data lakes, data warehouses, data marts, and operational data stores (ODS).
  • Lead the implementation of cloud-based data solutions using AWS, Azure, or Google Cloud Platform (GCP).
  • Architect scalable data ingestion, transformation, and governance frameworks aligned with organizational data strategy.
  • Define data modeling standards and implement relational and NoSQL database solutions.
  • Develop and optimize modern data warehousing solutions (e.g., Snowflake, Amazon Redshift, Google BigQuery).
  • Leverage Big Data and streaming technologies such as Apache Spark, Kafka, and Kinesis.
  • Establish data security, access control, and governance policies across the data ecosystem.
  • Collaborate with business and technology stakeholders to align data architecture with business goals.
  • Mentor data engineers and ensure best practices in data design and implementation.

Qualifications

  • Bachelor's or Master's Degree in Computer Science, Data Science, or a related technical field.

Required Skills

  • Cloud
  • Data Architecture
  • Data Warehousing
  • Data Modeling

Preferred Skills

  • Experience in UK financial services or pensions administration domain.
  • Background in product-centric or SaaS environments.
  • Knowledge of MLOps principles and architectures supporting machine learning and GenAI applications.
  • Relevant cloud certifications such as:
  • AWS Certified Data Analytics – Specialty
  • Azure Data Engineer Associate
  • Google Professional Data Engineer

Pay range and compensation package

Immediate to 15 days notice period.

Equal Opportunity Statement

We are committed to diversity and inclusivity.

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