Job Title: Data Architect
Hyderabad
Role Overview:
We are looking for an experienced Data Architect to design, develop, and maintain scalable enterprise data architectures. The ideal candidate will have strong experience in data modeling, cloud data platforms, data integration, governance, and modern data architecture patterns.
Key Responsibilities
- Design and implement enterprise data architecture aligned with business and technology requirements.
- Develop conceptual, logical, and physical data models.
- Define data architecture standards, principles, patterns, and best practices.
- Design data warehouses, data lakes, lakehouses, and data marts.
- Develop scalable ETL/ELT and data integration solutions.
- Work with cloud platforms such as AWS, Azure, or GCP.
- Design and optimize data pipelines using tools such as Databricks, Snowflake, Azure Data Factory, AWS Glue, or similar technologies.
- Establish and maintain data governance, data quality, metadata, and data lineage standards.
- Collaborate with business stakeholders, data engineers, analysts, application teams, and enterprise architects.
- Ensure data architecture supports security, privacy, scalability, availability, and performance requirements.
- Evaluate new technologies and recommend appropriate data platforms and solutions.
- Troubleshoot performance, integration, and data-quality issues.
- Create architecture diagrams, technical documentation, standards, and implementation guidelines.
Required Skills
- 8+ years of experience in data architecture, data engineering, or related roles.
- Strong expertise in data modeling and database architecture.
- Advanced SQL skills.
- Experience with relational and NoSQL databases.
- Strong understanding of ETL/ELT, data integration, and data pipelines.
- Experience with cloud data platforms – AWS, Azure, or GCP.
- Experience with modern data platforms such as Snowflake, Databricks, BigQuery, Redshift, or Synapse.
- Knowledge of data governance, metadata management, data quality, and master data management (MDM).
- Experience with BI and analytics environments.
- Strong understanding of data security, access control, encryption, and compliance.
- Excellent communication and stakeholder-management skills.
Preferred Skills
- Experience with Data Mesh, Data Fabric, or Lakehouse architecture.
- Knowledge of Apache Spark, Kafka, or other distributed data technologies.
- Experience with Azure/AWS/GCP architecture frameworks.
- Experience with Collibra, Alation, Informatica, or similar data-governance tools.
- Experience in designing real-time/streaming data architectures.
- Cloud or architecture certifications are a plus.
Typical Technology Stack
Cloud: AWS / Azure / GCP
Data Platforms: Snowflake / Databricks / BigQuery / Redshift / Synapse
Databases: SQL Server / Oracle / PostgreSQL / MySQL / MongoDB
Integration: Informatica / ADF / AWS Glue / Talend / SSIS
Big Data: Spark / Kafka / Hadoop
Governance: Collibra / Alation / Informatica
Languages: SQL / Python / Scala / Java
Visualization: Power BI / Tableau
Pay: ₹894,233.68 - ₹2,383,463.65 per year
Work Location: In person
