Senior Data Architect

Techila Global; Chennai; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Techila Global is seeking a Senior Data Architect to design, implement, and govern scalable data architectures across data lakes, warehouses, and lakehouses. You will lead cloud data initiatives and ensure governance, security, and data quality across the enterprise.

The role requires extensive experience in data modeling, ETL/ELT, and modern data architecture patterns, with hands-on expertise in AWS/Azure/GCP and big data tools.

Qualifications

• Experience in designing enterprise data architectures across data lakes, warehouses and lakehouses.

Responsibilities

• Design and implement enterprise-wide data architecture including data lakes, data warehouses, and lakehouse solutions.
• Define data architecture standards, data models, integration patterns, and roadmaps.
• Architect scalable data pipelines for batch and real-time processing.
• Design and optimize ETL/ELT workflows and data integration solutions.
• Lead cloud data architecture initiatives across AWS, Azure, or Google Cloud.
• Implement governance, quality, metadata, lineage, and security frameworks.
• Collaborate with stakeholders, engineers, analytics teams, and architects.
• Evaluate technologies and recommend scalable, cost-efficient solutions.
• Ensure compliance with security policies and data privacy regulations.
• Provide technical leadership, conduct architecture reviews, and mentor teams.

Skills

Data architecture

Data modeling

SQL/NoSQL

ETL/ELT

Cloud platforms

Big data tech

Data governance

Leadership

Education

Bachelor’s or Master’s in CS/IT

Tools

Snowflake

Databricks

BigQuery

Redshift

dbt

Airflow

Azure Data Factory

Informatica

Job description

Job Description: Senior Data Architect

Experience: 10–15+ years (suggested) Role: Senior Data Architect Employment Type: Full-time Location: As per client requirement

Job Summary

We are looking for an experienced Senior Data Architect to design, develop, and govern scalable, secure, and high-performance enterprise data architectures. The ideal candidate will have strong expertise in cloud data platforms, data modeling, data engineering, data governance, and modern data architecture patterns.

Key Responsibilities

• Design and implement enterprise-wide data architecture, including data lakes, data warehouses, and lakehouse solutions.
• Define data architecture standards, data models, integration patterns, and technology roadmaps.
• Architect scalable data pipelines for batch and real-time data processing.
• Design and optimize ETL/ELT workflows and data integration solutions.
• Lead cloud data architecture initiatives across AWS, Azure, or Google Cloud.
• Implement data governance, data quality, metadata management, lineage, and security frameworks.
• Collaborate with business stakeholders, data engineers, analytics teams, and solution architects.
• Evaluate data technologies and recommend solutions based on scalability, performance, cost, and business needs.
• Ensure compliance with enterprise security policies and applicable data privacy regulations.
• Provide technical leadership, conduct architecture reviews, and mentor data engineering teams.

Mandatory Skills

• Strong experience in enterprise data architecture and data platform design.
• Expertise in data modeling: conceptual, logical, and physical data models.
• Hands-on knowledge of SQL, relational databases, and NoSQL databases.
• Experience with ETL/ELT tools and data integration frameworks.
• Strong understanding of data lakes, data warehouses, and lakehouse architecture.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Knowledge of distributed data processing technologies such as Apache Spark, Kafka, or Hadoop.
• Experience with data governance, data quality, metadata, and master data management.
• Strong stakeholder management and technical leadership skills.

Preferred Skills

• Experience with Snowflake, Databricks, BigQuery, or Amazon Redshift.
• Knowledge of dbt, Airflow, Azure Data Factory, or Informatica.
• Experience designing real-time streaming and event-driven data architectures.
• Familiarity with data mesh, data fabric, and modern cloud-native architecture patterns.
• Exposure to AI/ML data platforms and GenAI data requirements.

Education

Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related discipline.

Key Deliverables

• Enterprise data architecture and technology roadmap.
• Scalable, secure, and cost-effective data platforms.
• Standardized data models and integration frameworks.
• Improved data quality, governance, and accessibility.
• Technical guidance for data engineering and analytics teams.

Recruitment screening tip: Prioritize candidates who have designed and implemented enterprise-scale data platforms and can explain architecture decisions, cloud data solutions, governance, and performance optimization with real project examples.