About the Role

We are looking for an experienced and strategic Data Architect to design, develop, and implement scalable, secure, and high-performance enterprise data architectures. The ideal candidate should have strong expertise in modern data platforms, cloud technologies, data modelling, data governance, and enterprise data management.

The candidate will collaborate with business stakeholders, data engineers, analytics teams, and technical leadership to translate business requirements into robust data architecture solutions.

Key Responsibilities

- Define and drive enterprise data architecture strategies, standards, and best practices.
- Design scalable, reliable, and high-performance data architectures for enterprise applications and analytics platforms.
- Develop conceptual, logical, and physical data models.
- Architect modern data platforms, including data lakes, data warehouses, and lakehouse solutions.
- Design and implement cloud-based data solutions using AWS, Azure, or GCP.
- Define data integration, ETL/ELT, and real-time data processing architectures.
- Establish data governance, data quality, metadata management, security, and compliance standards.
- Optimize data pipelines, storage, and processing for performance, scalability, and cost efficiency.
- Provide technical leadership and architectural guidance to data engineering teams.




- Evaluate emerging data technologies and recommend suitable solutions based on business requirements.
- Collaborate with stakeholders to ensure alignment between business objectives and technical architecture.

Required Technical Skills

- Strong expertise in Enterprise Data Architecture and Data Modelling.
- Hands-on experience with SQL, NoSQL databases, and distributed data systems.
- Expertise in cloud data platforms – AWS, Azure, or GCP.
- Experience with modern data technologies such as Snowflake, Databricks, Azure Synapse, or Amazon Redshift.
- Robust understanding of ETL/ELT frameworks and data integration tools.
- Experience with Big Data technologies such as Apache Spark, PySpark, Kafka, or Hadoop.
- Knowledge of Data Governance, Master Data Management (MDM), Metadata Management, and Data Quality.
- Understanding of data security, access controls, and regulatory compliance.
- Experience designing enterprise-scale data lakes, data warehouses, and lakehouse architectures.

Qualifications & Experience

- 10+ years of overall experience in Data Engineering, Data Architecture, or related technology roles.
- Proven experience in designing and implementing enterprise-level data architecture solutions.
- Strong problem-solving, analytical, and architectural decision-making skills.
- Excellent communication and stakeholder management capabilities.
- Experience leading technical teams and driving architecture initiatives.

📌 Senior Data Architect (Coimbatore)
🏢 Hash Agile Technologies
📍 Coimbatore