Data Architect – SAP, Databricks

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8 hours ago

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DB

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Software • Technology • Consulting

DB is a company that specializes in assisting organizations with digital transformation, focusing on understanding problems and finding optimal solutions. They offer a range of services including Agile design and development, digital innovation, software development, sourcing, and consulting. With a dedicated team, DB emphasizes quality in software engineering and provides tailored technological solutions to meet client demands effectively. Additionally, they promote innovation through their DBLab initiative, ensuring that their approaches are applicable, replicable, and scalable for their clients' success.

501 - 1000 employees

📋 Description

• Design and implement data architectures integrating SAP, Databricks and cloud platforms; • Build and optimize data pipelines on Databricks (Delta Lake and PySpark); • Extract and integrate data from SAP using BTP, BDC and CDS Views; • Ensure data governance, security and quality, following LGPD/GDPR; • Model data and optimize performance in relational and non-relational databases; • Integrate SAP data with Data Lakes, Data Warehouses and analytics environments; • Support technical and business teams with technical leadership and clear communication; • Define standards and best practices for architecture and the evolution of data platforms.

🎯 Requirements

• SAP BDC and SAP BTP • Experience with SAP Business Data Cloud: data integration, governance and data unification; • Knowledge of SAP Business Technology Platform (BTP) and SAP HANA Cloud; • Understanding of Clean Core and SAP architecture best practices; • Experience in data/analytics/AI architecture projects involving extraction of SAP data to external storage; • Experience specifying CDS Views for batch processing and CDC (change data capture). • Databricks • Experience with Delta Lake and PySpark; • Building data pipelines in Databricks for ingestion, transformation and analysis; • Understanding of the Medallion Lakehouse pattern; • Integrating Databricks with SAP and other enterprise sources. • Databases • Experience with relational databases (SQL Server, Oracle, PostgreSQL) and non-relational databases (MongoDB, Cassandra); • Data modeling and query/performance optimization. • Cloud • Experience with at least one major cloud platform: Azure, AWS or GCP; • Knowledge of Data Lake and Data Warehouse concepts; • Use of integration services (ETL/ELT), security and governance in the cloud. • Data Architecture • Ability to design hybrid architectures (SAP + Databricks + Cloud); • Define standards for data governance and data quality. • Governance and Security • Knowledge of LGPD/GDPR and data compliance; • Implement governance, access policies and auditing. • Integration • Experience with integration tools (SAP Data Intelligence, SAP DataSphere, Kafka, REST/GraphQL APIs); • Connecting SAP data to external analytics environments.

🏖️ Benefits

• iFood meal voucher (food and meals) • Home office allowance • Health insurance • Dental plan • Birthday day off • Life insurance • Extended maternity and paternity leave • Educational partnerships • Partnership with TotalPass - health and well-being • Partnership with Clude Saúde • Reimbursement programs • Flexible working hours • Dress code: be yourself.