Senior Architect

Job description:

Bachelor’s degree in Data Science, Computer Science or foreign equivalent from an accredited institution

Ten (10) years of relevant experience in BI and analytics which includes

Five (5) years of experience as a data architect in the design and implementation of data models for enterprise data warehouse

Experience leading projects involving data warehousing, data modeling, and data analysis

Experience in the design and implementation of data architectures and concepts such as cloud services Azure Databricks PySpark

Experience with database technologies such as SQL, NoSQL, HANA, Oracle, Hadoop, or Teradata 

Experience with business intelligence tools and technologies such as ETL, Power BI, and Tableau

Experience in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP), real-time data distribution (Kafka, Dataflow), and modern data warehouse tools (Snowflake, Databricks )

Experience programming languages such as Java, Python C/C++

Experience in entity-relationship modeling, metadata systems, and data quality tools and techniques

Analysis: Works with data to identify patterns, uses judgment to form conclusions that may challenge conventional wisdom, and focuses on the crux of issues to identify high leverage intervention points and strategies 

Initiative: Must display initiative, be able to work independently and have good problem solving and analytical skills

Creativity: Applies original and innovative thinking to produce new ideas and create innovative products

Communication: Conveys complex and technical business issues to diverse audiences, and projects a highly credible, polished image in presentations and communications

Must be highly organized, possess strong attention to detail, and demonstrate the ability to work under pressure

Ability to synthesize and clearly communicate large volumes of complex information to senior management of various technical understandings

Ability to collaborate and excel in complex, cross-functional teams involving data scientists, business analysts, and stakeholders

Ability to work with other senior and junior associates; provide coaching to others on the team