Data Architect

• Experience with Agile Methodology
• ITIL certification
• Knowledge of best practices for code review and management in GitHub
• Experience in design and development of data lakes, data warehouses, data marts and schema design
• Building and maintaining complex data pipelines
• Expertise in performing data extraction, profiling, cleansing, conversion, transformation and loading of data
• Knowledge of CI/CD, Infrastructure as Code and more generally Everything as Code
• Experience with DBMS software and tools (PostgreSQL, Oracle, Snowflake, Teradata, MS SQL Server, MongoDB, Toad, Hadoop, Couch DB, etc.)
• Expertise in data management (structured/unstructured), data mining and reporting technologies
• Extensive experience with data modeling using Erwin, Power Designer, Toad or similar software
• Experience working with Amazon AWS, Microsoft Azure, Spark framework
• Experience with a multitude of AWS services; especially Glue, DMS, Cloud Formation, IAM, Route53, ALB/ELB, VPC, EC2, Lambda, S3, KMS, Cloud Trail, Config, Cloud Watch
• Experience with Azure services; especially Azure Data Factory, Azure Resource Manager, Azure Synapse, Azure Functions, Azure Data Lake Analytics, Azure Data Lake Storage, Azure Monitor
• Experience with SQL, PL/SQL, Python, Spark Framework, YAML, JSON, Chef
• Experience with Docker, NodeJS, Ansible, Docker, Jenkins, Unix, Linux
• Strong understanding of cybersecurity operation principles
• Knowledge of industry standard NIST framework

Additional Preferences

• Knowledge of data science technologies like R, Keras or TensorFlow
• Knowledge of ML/AI and natural language processing
• Experience implementing and leading data governance
• Experience working in a regulated environment
• Manufacturing Operations experience preferred
• Pharma Manufacturing experience strongly desired.
• Multi-Site, Global IT Project Experiences strongly desired