Data Architect

• Architecture and design of the Data Engineering components of Dartmouth suite
• Improve current Database and Data Warehouse design
• Ensure solutions meet stability concerns for ongoing performance, maintenance, and support
• Develop strategies for Data Acquisition, Archiving and Governance
• Own the responsibility of the performance of the queries
• Code and develop key components
• Review code of the Data Engineering team members
• Develop, upskill, organize, and coach internal existing talents in the Data Engineering team
• Assist team with upskilling on technology and data architecture practices

At least 8 years of total experience with a minimum of 4 years in :

• Hands-on experience of programming in Python language
• Proficiency in SQL is must
• Big data (Hadoop, Hive, Spark)
• Messaging backplane (Kafka)
• Data-pipeline & scheduler tool (Airflow, Nifi)
• Streaming engines (Kafka, Spark Streaming)
• Any Relational database or DW experience
• ETL tool experience (Google Data Fusion or any other tool)
• Hands-on experience in Data Analysis, Data Modeling, Data Integration, Data Warehousing, Database Design , Data Pipeline Design
• Experience with database performance evaluation and remediation
• Develops strategies for data acquisitions, archive recovery and implementation
• Ability to develop database strategies for flexible high-performance reporting and business intelligence
• Experience in GCP cloud platform.
• Good communication skills and strong analytical skills
• Experience in team handling and project delivery