Data Architect

Job Title: Data Architect
Experience: 8+ Years
Location: Jaipur
Employment Type: Full-Time

Job Summary:

We are looking for an experienced Data Architect with a strong background in data and analytics to design and implement scalable, high-performance data solutions. The ideal candidate must have extensive hands-on experience with Databricks, along with expertise in Azure, AWS, and modern data technologies. This role requires deep technical knowledge in big data processing, cloud architectures, and data engineering.

Key Responsibilities:

• Architect & Implement Data Solutions Design scalable data lakes, data warehouses, and real-time streaming architectures.
• Databricks Expertise Build and optimize data pipelines, Delta Lake architectures, and advanced analytics solutions using Databricks.
• Cloud Data Engineering Develop and manage cloud-native data platforms on Azure (Synapse, Data Lake, Data Factory, Cosmos DB) and AWS (Redshift, Glue, S3, Athena).
• ETL/ELT Pipelines Design and automate data ingestion, transformation, and processing workflows using Databricks, Apache Spark, and cloud-native ETL tools.
• Big Data Processing & Analytics – Work with Apache Spark, PySpark, Scala, Hadoop, and Kafka for large-scale data processing.
• Data Governance & Security – Implement data quality, lineage, access control, and compliance policies (GDPR, HIPAA, etc.).
• Performance Optimization – Fine-tune Spark workloads, storage optimization, and query performance in Databricks.
• Collaboration & Stakeholder Management – Partner with engineering, analytics, and business teams to align data strategies with business needs.

Required Skills & Qualifications:

• 8+ years of experience in data architecture, data engineering, or analytics.
• Mandatory hands-on experience with Databricks (Delta Lake, Spark, MLflow, Workflows, SQL Analytics, and Data Engineering Pipelines).
• Strong expertise in Azure Data Services (Synapse, Data Lake, Data Factory) and AWS (Redshift, Glue, S3, Athena, Kinesis).
• Proficiency in SQL, Python, and Scala for data engineering and transformation.
• Experience with NoSQL databases (MongoDB, DynamoDB) and real-time data streaming (Kafka, Event Hubs, Kinesis).
• Understanding of data governance, lineage, and compliance best practices.
• Knowledge of CI/CD for data pipelines, DevOps, and Infrastructure as Code (Terraform, CloudFormation).
• Strong analytical, problem-solving, and communication skills.