Hyderabad, INonsitePosted Jul 6, 2026
Posting intelligenceActively listed

Skills

postgressnowflakebigqueryredshifttableauhadooporaclepythonazuresparkkafkamysqlscalajavaawsdbt

About the role

Data Architect

Location

Hyderabad, India (On-site)

Experience

5–10 Years

Employment Type

Full-Time

Job Summary

We are looking for an experienced Data Architect to design, develop, and maintain scalable and secure data architecture solutions. The ideal candidate will work closely with business stakeholders, data engineers, analysts, and developers to build efficient data models, data pipelines, and data governance frameworks that support business intelligence and analytics.

Key Responsibilities

Design and implement enterprise data architecture and data models.

Develop and maintain data warehouses, data lakes, and database solutions.

Define data standards, policies, and governance practices.

Collaborate with business and technical teams to understand data requirements.

Optimize database performance, scalability, and security.

Design ETL/ELT processes for data integration.

Ensure data quality, consistency, and integrity across systems.

Support business intelligence and analytics initiatives.

Evaluate and recommend new data technologies and tools.

Prepare technical documentation and architecture diagrams.

Required Skills

Strong knowledge of SQL and database design.

Experience with relational and NoSQL databases.

Knowledge of Data Warehousing and Data Lake concepts.

Experience with ETL/ELT tools.

Understanding of data modeling (Conceptual, Logical, and Physical).

Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.

Knowledge of Big Data technologies (Hadoop, Spark, Kafka) is an advantage.

Understanding of data governance, security, and compliance.

Strong analytical and problem-solving skills.

Excellent communication and teamwork skills.

Preferred Qualifications

Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, or a related field.

Certifications in cloud platforms (AWS, Azure, or Google Cloud) are preferred.

Experience with enterprise data architecture frameworks is an added advantage.

Preferred Tools & Technologies

SQL Server, Oracle, PostgreSQL, MySQL

Snowflake, Amazon Redshift, Google BigQuery

Azure Synapse Analytics

Apache Spark, Hadoop, Kafka

Informatica, Talend, SSIS, dbt

Power BI, Tableau

Python, Scala, Java

Key Competencies

Data Modeling

Database Design

Data Integration

Cloud Data Architecture

Data Governance

Performance Optimization

Leadership and Collaboration

Problem-Solving

Benefits

Competitive salary

Health insurance

Performance bonus

Flexible work arrangements

Learning and certification support

Career growth opportunities

Pay: ₹1,000,000.00 - ₹3,000,000.00 per year

Work Location: In person

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