Data Solution Architect

Primary (Must Have) Skills

• 10+ years of experience in Data Engineering, Data Integration, or Data Platform delivery.
• Strong hands-on experience with Databricks on AWS.
• Expertise in Apache Spark, PySpark, Delta Lake, and Lakehouse architecture.
• Experience designing and implementing enterprise-scale data pipelines.
• Strong understanding of AWS services such as S3, Glue, Lambda, Redshift, IAM, and CloudWatch.
• Hands-on experience with MDM implementations and integrations.
• Experience with data quality, data governance, lineage, and master data management processes.
• Strong experience integrating enterprise systems using middleware platforms such as MuleSoft, Boomi, Kafka, or API-based integrations.
• Experience working with structured, semi-structured, and unstructured datasets.
• Strong SQL and Python development skills.
• Experience with Agile delivery methodologies and DevOps practices.
• Experience leading distributed teams and managing stakeholder communications.