Principal Data Architect

12 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

Job Title: Principal Data Architect (on Contract)

Location:

Department:

Company:


About Us:

AnandRathi is one of India’s leading financial services firms, offering a wide range of services in wealth management, capital markets, brokerage, investment banking, and financial planning. As part of our digital transformation journey, we are building a cutting-edge data ecosystem to power insights, scale, and innovation across all verticals.


Job Summary:

Data Architect


Key Responsibilities:

Data Architecture & Design

  • Define enterprise-wide data architecture strategy aligned with business goals.
  • Design scalable, secure, and high-performance data pipelines and platforms (e.g., data lakes, warehouses).
  • Oversee integration of structured, semi-structured, and unstructured data sources across business units.

Data Administration & Integrity

  • Oversee logical and physical data model maintenance and schema design.
  • Implement controls and procedures to ensure

    data accuracy, consistency, and integrity

    across all systems.
  • Monitor database performance, availability, and access control in coordination with DBAs.
  • Define and manage data retention, archival, and purging policies.

Governance & Quality

  • Establish and enforce data governance frameworks, standards, and policies.
  • Implement data lineage, metadata management, and master data management strategies.
  • Drive compliance with regulatory and security standards (e.g., SEBI, GDPR, RBI).

Engineering Frameworks

  • Lead data engineering teams to build robust ingestion, transformation, and orchestration pipelines using tools like Apache Spark, Airflow, Kafka, etc.
  • Recommend frameworks for data quality, testing, and observability.

Analytics & AI/ML Enablement

  • Support business and data science teams with architecture optimized for advanced analytics and machine learning workloads.
  • Ensure datasets are AI/ML-ready through proper feature engineering pipelines and model deployment support.

Scalability & Optimization

  • Plan for horizontal scaling, partitioning strategies, and performance optimization of large-scale systems.
  • Work with DevOps teams for cloud-native deployments (e.g., AWS, GCP, Azure).

Stakeholder Collaboration

  • Act as a bridge between business, analytics, IT, and compliance teams.
  • Present architectural decisions and data strategy to executive stakeholders.


Key Requirements:

  • 12+ years of experience in data architecture, engineering, or analytics roles
  • Deep understanding of data modelling (OLTP/OLAP), distributed systems, and modern data stack tools
  • Proven experience with cloud-native data platforms (e.g., AWS Redshift, Snowflake, Databricks)
  • Strong command of data governance, lineage, and security frameworks
  • Hands-on knowledge of AI/ML pipelines and model lifecycle management is a big plus
  • Financial services domain experience is strongly preferred
  • Excellent communication, documentation, and leadership skills


Preferred Qualifications

  • Bachelor’s/Master’s degree in Computer Science, Data Science, Engineering, or related field
  • Certifications in AWS Data Analytics, Azure Data Architect, or equivalent
  • Familiarity with SEBI/RBI/Indian regulatory data frameworks


Why Join Us?

  • Be a key driver in AnandRathi’s digital and AI-first future
  • Work with a cross-functional team of innovators and industry experts
  • Exposure to enterprise-scale systems in the BFSI space


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