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Data Architect

2 weeks ago

Chennai, Tamil Nadu, India Ignitho Full time ₹ 15,00,000 - ₹ 20,00,000 per year

Job Summary: The Senior Data Architect will lead the design and implementation of scalable, high performance data architectures across both on-premises and cloud environments. This role involves advanced data modelling, SQL development, and ETL design, with a strong focus on data quality, integrity, and strategy. The architect will collaborate closely with cross-functional teams to align technical solutions with business needs, perform in depth data analysis, and drive the development of robust data models that support long-term organisational goals.

Core Competencies:

  • Data Architecture & Strategy


• Advanced Data Modelling (Star, Snowflake)


• SQL Development (Partitioning, Stored Procedures, Recursive Queries)

  • Data Profiling & Root Cause Analysis


• ETL Design & Implementation

  • Cloud & On-Premise Data Platforms (Oracle, Databricks)


• Data Quality & Governance


• Stakeholder Engagement

  • Change Data Capture & Audit Strategy


• Cross-Functional Collaboration

Roles and Responsibilities:

  • Analyse existing data sources to understand data flow, relationships, and usage.


• Design and implement scalable data models following best practices in normalisation, denormalization, and dimensional modelling.

  • Develop and optimise complex SQL queries, including recursive SQLs and macros, to extract, transform, and analyse data.


• Architect end-to-end data strategies aligned with future-state objectives, focusing on performance, scalability, and flexibility.

  • Reverse engineer data models through data profiling, identifying key attributes and relationships.
  • Collaborate with business and technical stakeholders to map data patterns to underlying processes and use cases.
  • Conduct root cause analysis (RCA) to troubleshoot data inconsistencies and propose effective resolutions.


• Perform frequency distribution and statistical analyses to detect data trends and quality issues.


• Design and implement change data capture (CDC), audit logging, and reference data strategies.


• Define and create mapping tables and helper tables to support flexible and configurable ETL processes.


• Own and ensure data integrity, accuracy, and completeness across platforms.

General Attributes:


• Demonstrates intellectual curiosity and passion for uncovering insights in complex datasets.


• Skilled communicator capable of translating technical concepts into actionable insights for diverse stakeholders.


• Engages effectively with clinicians, researchers, data scientists, and IT teams to gather requirements and align objectives.


• Leads deep-dive data analysis initiatives to support data-driven decision making.


• Collaborates across departments to deliver robust, business-aligned data models and solutions.

Preferred Skills


• Familiarity with data visualisation tools (e.g., Tableau, Power BI) is an advantage.


• Experience in the Life Sciences or Pharmaceutical industry is highly desirable.