Description
You will design and oversee data architectures within Azure cloud environments to support analytics and ETL/ELT workloads.
Responsibilities
- Develop data models, schemas, and pipelines for data warehousing and analytics.
- Lead architectural decision-making and mentor engineering teams.
- Translate business requirements into technical solutions through collaboration with data scientists and stakeholders.
- Migrate SAP HANA, S/4 HANA, and SAP applications to public cloud environments.
- Guide best practices in data modeling, metadata management, and data governance.
Required Skills
- 5+ years of experience in data architecture or related roles.
- Hands-on expertise with Databricks, Unity Catalog, Delta Lake, and Lakehouse architecture.
- Proficiency in SQL, Python, and Spark.
- Experience with streaming platforms like Kafka.
- Strong knowledge of Azure cloud environments.
- Experience with OLTP and OLAP data modeling.
- Understanding of Master Data Management (MDM) and data governance frameworks.
- Degree in any graduate field.
Preferred Skills
- Experience with BI tools including Power BI, Tableau, ThoughtSpot, or LookerStudio.
- Knowledge of NLP, machine learning, and AI frameworks like TensorFlow.
- Familiarity with chatbot frameworks such as Dialogflow.