Description

You will lead sales engagements and design scalable cloud data architectures for enterprise clients.

Responsibilities

• Lead sales engagements to position cloud data solutions and support business development teams.
• Spearhead the creation of proposals, RFP responses, and Statements of Work (SOW) aligned with client needs.
• Design and implement scalable, cost-effective architectures across AWS, Azure, or GCP environments.
• Execute migration strategies from legacy data platforms to modern cloud environments.
• Develop ETL/ELT pipelines, data integration workflows, and CDC/delta load designs.
• Ensure compliance with data governance and security standards using tools like Collibra, Informatica, and SAP Datasphere.

Required Skills

• 15+ years of experience as a Data Solutions Consultant, Pre-Sales Data Engineer, or Cloud Data Architect.
• Mandatory expertise with SAP Datasphere and SAP BW to SAP Datasphere migrations.
• Hands-on experience with SAP tools including SAP BW, BOBJ, and SAP Data Analytics.
• Deep proficiency in at least one major cloud platform: AWS, Azure, or GCP.
• Experience with cloud-native services such as Redshift, BigQuery, Synapse/Microsoft Fabric, AWS Glue, DMS, Kafka, Azure Data Factory, or GCP Dataflow.
• Proficiency in modern data platforms including Databricks, Snowflake, BigQuery, or Synapse.
• Strong experience with ETL/ELT processes, pipeline orchestration, and Change Data Capture (CDC).
• Technical proficiency in Python and SQL.
• Knowledge of Apache Iceberg, Delta Lake, Data Vault, and Data Mesh modeling techniques.
• Bachelor's degree in Computer Science, Information Technology, or a related field.

Preferred Skills

• Master's degree in a related technical field.
• Experience with data extraction from SAP ERP systems.
• Experience with Apache Spark, Hadoop, and CI/CD pipelines for data engineering.

Key Skills

Education

Bachelor's degree