Data Architect (Data Migration & Consolidation)
Note: Primarily remote within the US, but travel may be required (up-to 40%), and deployments will likely be structured regionally as initiatives are confirmed. Travel Expense will be Reimbursed by the Client.Job Summary:
o We are seeking a Senior Data Engineer with strong experience leading enterprise-scale data migration and system consolidation programs.
This role involves migrating legacy ERP and enterprise systems to modern cloud data platforms while designing scalable data pipelines and integration frameworks.Key Requirements:
o 7+ years of experience in data engineering, system integration, or large-scale data migrations.
o Hands-on experience with ERP migrations (SAP ECC, Oracle, or similar systems).
o Strong expertise in Python, SQL, and PySpark.
o Experience building ETL/ELT pipelines using tools such as Informatica, Talend, AWS Glue, or Azure Data Factory.
o Experience with cloud platforms (AWS, Azure, or Google Cloud Platform) and modern data warehouses (Snowflake, Databricks, Redshift, BigQuery, Synapse).
o Experience handling large datasets (100M+ records) and multi-system data consolidation.
o Strong client-facing communication skills and ability to work with enterprise stakeholders.Nice to Have:
o Experience with MDM platforms, real-time streaming (Kafka/Kinesis), or data governance tools.
o Exposure to AI/LLM-assisted data transformation or schema mapping.
Apply tot his job
Apply To this Job
o We are seeking a Senior Data Engineer with strong experience leading enterprise-scale data migration and system consolidation programs.
This role involves migrating legacy ERP and enterprise systems to modern cloud data platforms while designing scalable data pipelines and integration frameworks.Key Requirements:
o 7+ years of experience in data engineering, system integration, or large-scale data migrations.
o Hands-on experience with ERP migrations (SAP ECC, Oracle, or similar systems).
o Strong expertise in Python, SQL, and PySpark.
o Experience building ETL/ELT pipelines using tools such as Informatica, Talend, AWS Glue, or Azure Data Factory.
o Experience with cloud platforms (AWS, Azure, or Google Cloud Platform) and modern data warehouses (Snowflake, Databricks, Redshift, BigQuery, Synapse).
o Experience handling large datasets (100M+ records) and multi-system data consolidation.
o Strong client-facing communication skills and ability to work with enterprise stakeholders.Nice to Have:
o Experience with MDM platforms, real-time streaming (Kafka/Kinesis), or data governance tools.
o Exposure to AI/LLM-assisted data transformation or schema mapping.
Apply tot his job
Apply To this Job