AWS Data Architect

Senior AWS Data Architect

Max 28 LPA

Key Responsibilities:

 Design and implement scalable, secure, and high-performance Big Data architectures using

Databricks, Apache Spark, and cloud-native services.

 Lead the end-to-end data architecture lifecycle, from requirements gathering to deployment

and optimization.

 Design repeatable and reusable data ingestion pipelines for bringing in data from ERP source

systems like SAP, Salesforce, HR, Factory, Marketing systems etc.

 Collaborate with cross-functional teams to integrate SAP data sources into modern data

platforms.

 Drive cloud cost optimization strategies and ensure efficient resource utilization.

 Provide technical leadership and mentorship to a team of data engineers and developers.

 Develop and enforce data governance, data quality, and security standards.

 Translate complex business requirements into technical solutions and data models.

 Stay current with emerging technologies and industry trends in data architecture and

analytics.

Required Skills & Qualifications:

 6+ years of experience in Big Data architecture, Data Engineering and AI assisted BI solutions

within Databricks and AWS technologies.

 3+ Years of Experience with AWS Data services like S3, Glue, Lake Formation, EMR, Kinesis,

RDS, DMS and others

 3+ Years of Experience in building Delta Lakes and open formats using technologies like

Databricks and AWS Analytics Services.

 Bachelor’s degree in computer science, information technology, data science, data analytics

or related field

 Proven expertise in Databricks, Apache Spark, Delta Lake, and MLflow.

 Strong programming skills in Python, SQL, and PySpark.

 Experience with SAP data extraction and integration (e.g., SAP BW, S/4HANA, BODS).

 Hands-on experience with cloud platforms (Azure, AWS, or GCP), especially in cost

optimization and data lakehouse architectures.

 Solid understanding of data modeling, ETL/ELT pipelines, and data warehousing.

 Demonstrated team leadership and project management capabilities.

 Excellent communication, problem solving and stakeholder management skills.

Preferred Qualifications:

 Experience in the manufacturing domain, with knowledge of production, supply chain, and

quality data.

 Certifications in Databricks, cloud platforms, or data architecture.

 Familiarity with CI/CD pipelines, DevOps practices, and infrastructure as code (e.g.,

Terraform).