Lifesciences Domain Consultant

Techila Global; Chennai; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Techila Global is seeking an experienced Senior Data Architect to design, build, and govern scalable, secure data architectures.

The role emphasizes cloud data platforms, data modeling, data engineering, governance, and modern architectural patterns, with leadership responsibilities across data teams.

Qualifications

• Experience in enterprise data architecture and data platform design.
• Proficiency in data modeling concepts (conceptual, logical, physical).
• Hands-on with SQL, relational and NoSQL databases.
• Experience with ETL/ELT tools and data integration.
• Knowledge of data lakes, data warehouses and lakehouse architectures.
• Experience with cloud platforms (AWS/Azure/GCP).
• Familiarity with distributed processing (Spark, Kafka, Hadoop).
• Data governance, data quality, metadata, and MDM.

Responsibilities

• Design and implement enterprise data architectures including data lakes, warehouses, and lakehouses.
• Define 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.
• Lead cloud data architecture initiatives across AWS/Azure/GCP.
• Implement data governance, quality, metadata, lineage, and security frameworks.
• Collaborate with stakeholders, data engineers, analytics teams, and solution architects.
• Evaluate technologies and recommend scalable, cost-effective solutions.
• Ensure compliance with security policies and data privacy regulations.
• Provide technical leadership and mentor data engineering teams.

Skills

Data architecture

Data modeling

SQL/NoSQL

ETL/ELT

Data lakehouse

Cloud platforms

Spark

Data governance

Leadership

Education

Bachelor's or Master's in CS/IT/Engineering

Tools

Snowflake

Databricks

BigQuery

Redshift

dbt

Airflow

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.