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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 .
Responsibilities
- Design and implement end-to-end modern data architectures , including data lakes, lakehouses, 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.
Qualifications
- 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.