Cloud Data Solutions Architect
Job Description
- Bachelor’s degree in Computer Science, Information Technology, or a related field. Master degrees are a plus.
Responsibilities Duties:
- 15+ years as a Data Solutions Consultant or Pre Sales Data Engineer or in a cloud data architecture role.
- Experience with AWS, Azure, or GCP, and proficiency in cloud-native tools such as AWS Glue, DMS, Kafka, Azure Data Factory, GCP Dataflow.
- Experience in SAP BW, SAP Datasphere and other SAP Data Analytics tools is a plus.
- Expertise in building and managing data lakes and data warehouses on cloud platforms.
- Experience with data extraction from SAP ERP systems is a plus.
- Familiarity with enterprise data governance, security, and compliance requirements.
- Experience with data platforms such as Apache Spark, or Hadoop is a plus.
- Experience with CI/CD pipelines and DevOps practices for data engineering
Key Skills:
Certifications preferred (not mandatory) in cloud platforms:
- AWS Certified Solutions Architect
- Azure Solutions Architect Expert
- Google Professional Cloud Architect
- Databricks Certified Data Engineer
- Snowflake SnowPro Certification
Experiance Qualifications:
Required Technical Expertise:
- Cloud Platforms (Mandatory): Expertise with AWS, Azure, or GCP, including services like Redshift, BigQuery, Synapse/Microsoft Fabric, etc.
- SAP Expertise (Huge Plus): Hands-on experience with SAP BW, BOBJ, SAP Data Analytics, SAP Datasphere, and SAP BW to Datasphere migration.
- Legacy to Cloud Migration: Experience with legacy data platform migrations to modern cloud platforms such as AWS, Azure, and GCP.
- Data Platforms: Proficiency in Databricks, Snowflake, BigQuery, and Synapse/Microsoft Fabric.
- ETL/ELT & Data Pipelines: Strong experience in ETL/ELT processes, data pipeline orchestration, and Change Data Capture (CDC) techniques.
- Open Source Table Formats: Experience with Apache Iceberg and Delta Lake for large-scale data lake management.
- Data Modeling: Knowledge of Data Vault, Data Mesh, and other advanced modeling techniques.
- Programming & Scripting: Proficiency in Python, SQL, and relevant languages.
Benefits:
Health, insurance, commuting support, lunch service