Data Architect with SAP and Bigdata Implementations
We are seeking an experienced Data Architect with strong expertise in SAP ecosystems and Big Data implementations to design, develop, and optimize enterprise-scale data architecture solutions. The ideal candidate should have deep experience in SAP data integration, modern data platforms, cloud technologies, and large-scale analytics environments.The candidate will work closely with business stakeholders, data engineering teams, SAP functional teams, and enterprise architects to build scalable and high-performing data solutions supporting enterprise reporting, analytics, and operational systems. Key ResponsibilitiesDesign and implement enterprise data architecture solutions integrating SAP and Big Data platforms. Architect scalable data pipelines and data integration frameworks for structured and unstructured data. Work on SAP systems including SAP ECC, SAP S/4HANA, SAP BW/4HANA, SAP BODS, SAP SLT, and SAP HANA. Lead Big Data and cloud-based implementations using Hadoop ecosystem, Spark, Kafka, Hive, Databricks, or similar technologies. Develop enterprise data models, metadata management strategies, and data governance frameworks. Collaborate with business, analytics, and engineering teams to define data standards and architecture best practices. Design and optimize ETL/ELT workflows for high-volume enterprise data processing. Support cloud migration and modernization initiatives involving AWS, Azure, or GCP. Ensure data quality, data security, compliance, and performance optimization across enterprise platforms. Provide technical leadership and mentor development and engineering teams. Participate in architecture reviews, solution planning, and implementation roadmaps. Create technical documentation, architecture diagrams, and integration standards. Required Skills & QualificationsSAP ExpertiseStrong experience with: SAP S/4HANA SAP BW/4HANA SAP HANA Modeling SAP BODS / SAP Data Services SAP SLT SAP Fiori data integration concepts Experience integrating SAP with enterprise data lakes and analytics platforms. Big Data & Data EngineeringStrong hands-on experience with: Hadoop Apache Spark Kafka Hive Databricks Snowflake Delta Lake Experience building large-scale distributed data processing systems. Cloud TechnologiesExperience with cloud platforms such as: AWS Azure Google Cloud Platform (GCP) Experience with cloud-native data architecture and migration strategies. Database & ETLStrong SQL expertise. Experience with: Oracle SQL Server PostgreSQL NoSQL databases Expertise in ETL/ELT tools and enterprise data warehousing concepts. Architecture & GovernanceEnterprise data modeling experience. Knowledge of: Data Governance Master Data Management (MDM) Metadata Management Data Quality frameworks Security & Compliance standards