Lorven Technologies
Cloud Data Architect - Location: McLean, VA - hybrid
Lorven Technologies, Mc Lean, Virginia, us, 22107
Title: Cloud data ArchitectLocation: MClean, VA - hybridDuration: Contract
Mandatory Skills:
Skill 1 - Data Engineer - 10+ yearsSkill 2 - Data Architecture - 3+ yearsSkill 3 - Azure Data Bricks - 5+ yearsSkill 4 - Azure Data Lake - 3+ years
QualificationsMinimum of 10 years of experience in a Data Engineering role, supporting warehouse and big data platforms/environmentsMinimum of 3 years of experience working in an Enterprise/Senior Data Architect role, including with Cloud data platforms (Azure)Minimum of 5 years of hands-on data engineering experience using distributed computing approaches (Spark, Map Reduce, DataBricks)Proven track record of successfully designing and implementing cloud-based data solutions in AzureDeep understanding of data modeling concepts and techniques.Strong proficiency with database systems (relational and non-relational).Exceptional diagramming skills with tools like (Visio OR Lucidchart), or other data visualization software.Advanced knowledge of cloud-specific data services (e.g., Azure Data Lake).Expertise in big data technologies (e.g., Hadoop, Spark).Strong understanding of data security and governance principles.Experience in scripting languages (Python, SQL).
Mandatory Skills:
Skill 1 - Data Engineer - 10+ yearsSkill 2 - Data Architecture - 3+ yearsSkill 3 - Azure Data Bricks - 5+ yearsSkill 4 - Azure Data Lake - 3+ years
QualificationsMinimum of 10 years of experience in a Data Engineering role, supporting warehouse and big data platforms/environmentsMinimum of 3 years of experience working in an Enterprise/Senior Data Architect role, including with Cloud data platforms (Azure)Minimum of 5 years of hands-on data engineering experience using distributed computing approaches (Spark, Map Reduce, DataBricks)Proven track record of successfully designing and implementing cloud-based data solutions in AzureDeep understanding of data modeling concepts and techniques.Strong proficiency with database systems (relational and non-relational).Exceptional diagramming skills with tools like (Visio OR Lucidchart), or other data visualization software.Advanced knowledge of cloud-specific data services (e.g., Azure Data Lake).Expertise in big data technologies (e.g., Hadoop, Spark).Strong understanding of data security and governance principles.Experience in scripting languages (Python, SQL).