Senior Data Architect

As a Senior Data Architect
, you will lead the design, development, and implementation of scalable, high-performance data platforms that support advanced analytics, AI/ML, and enterprise reporting.

This is a hands-on role
, combining strong data engineering expertise with architectural leadership to build modern, AI-ready data ecosystems
.

You will work closely with business stakeholders, engineering teams, and analytics leaders to translate complex business requirements into robust, secure, and future-ready data solutions
.

• Design and implement end-to-end modern data architectures
  , including data lakes, data lake houses, and data warehouses
  .
• Lead hands-on development of ETL/ELT pipelines
  , ensuring scalability, reliability, and performance.
• Architect and optimize batch and streaming data pipelines across cloud and hybrid environments.
• Drive best practices for data modeling (conceptual, logical, physical) to support analytics and reporting.
• Build and manage integrations between enterprise systems, data platforms, and third-party APIs
  .
• Ensure data consistency, quality, and lineage across multiple sources.
• Implement metadata management, orchestration, and monitoring frameworks
  .
• Enable AI/ML-ready data foundations for advanced analytics, NLP, and intelligent automation.
• Support structured and unstructured data processing to enable downstream analytics use cases.
• Exposure to Ontology and Knowledge Graphs is a strong plus for semantic modeling and contextual analytics.

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field
  .
• 10+ years of overall experience
  , with 3+ years in data architecture and platform design
  .
• Strong hands-on expertise in data engineering and modern data platforms.
• Proven experience building enterprise-scale data platforms and data products
  .
• Deep familiarity with Snowflake, Databricks, Azure Synapse
  , or equivalent platforms.
• Strong knowledge of SQL, data modeling, metadata management, and orchestration tools
  .
• Experience with BI and reporting tools
  .
• Solid understanding of data governance and MDM frameworks
  .
• Excellent communication, stakeholder management, and technical leadership skills.