What are the responsibilities and job description for the Senior Data Architect position at Intelliswift - An LTTS Company?
Senior Data Architect
4 days onsite – Marysville, OH
Skillset:
Bachelor's degree in computer science, data science, engineering, or related field
10 years minimum relevant experience in design and implementation of data models (Erwin) for enterprise data warehouse initiatives
Experience leading projects involving cloud data lakes, data warehousing, data modeling, and data analysis
Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS), real-time data distribution (Kinesis, Kafka, Dataflow), and modern data warehouse tools (Redshift, Snowflake, Databricks)
Experience with various database platforms, including DB2, MS SQL Server, PostgreSQL, Couchbase, MongoDB, etc.
Understanding of entity-relationship modeling, metadata systems, and data security, quality tools and techniques
Ability to design traditional/relational and modern big-data architecture based on business needs
Experience with business intelligence tools and technologies such as Informatica, Power BI, and Tableau
Exceptional communication and presentation skills Strong analytical and problem-solving skills
Ability to collaborate and excel in complex, cross-functional teams involving data scientists, business analysts, and stakeholders
Ability to guide solution design and architecture to meet business needs.