Agile Tech Labs
Overview
Job Title: Data / BI Architect Job Location: MI (Hybrid) Job Type: Contract Responsibilities
Collaborate with business and IT stakeholders to gather requirements and define data solutions Architect and implement data platforms including data warehouses data lakes and data marts Design conceptual logical and physical data models Evaluate and implement BI and data tools aligned with business needs Develop and manage ETL / ELT pipelines and integrations Create and maintain enterprise data catalog and metadata management Enforce data governance policies ensuring quality security and compliance Enable self-service data discovery for business users Monitor and optimize BI systems and data pipelines for performance and cost-effectiveness Provide technical leadership and mentorship on data management and BI best practices Requirements
5 years in data architecture engineering and BI strategy Strong knowledge of data warehouse and data lake concepts dimensional modeling and cloud platforms (AWS Azure GCP Snowflake Databricks Redshift etc.) Proficiency in relational and non-relational databases (SQL Server Oracle PostgreSQL MongoDB) Experience with BI tools (Power BI Tableau Business Objects Looker Crystal Reports) ETL / ELT development with tools such as Azure Data Factory AWS Glue Talend Fivetran dbt Familiarity with big data technologies (Hadoop Spark Kafka) Programming skills in SQL Python or R Knowledge of data governance metadata management and cataloging Strong communication and leadership skills Preferred Skills
Experience with machine learning / analytics engines (TensorFlow PyTorch Scikit-learn) Modeling tools (MS Visio ER / Studio PowerDesigner) Prior government or public sector experience Key Skills
Fund Management Drafting End User Support Infrastructure Airlines Catia
#J-18808-Ljbffr
Job Title: Data / BI Architect Job Location: MI (Hybrid) Job Type: Contract Responsibilities
Collaborate with business and IT stakeholders to gather requirements and define data solutions Architect and implement data platforms including data warehouses data lakes and data marts Design conceptual logical and physical data models Evaluate and implement BI and data tools aligned with business needs Develop and manage ETL / ELT pipelines and integrations Create and maintain enterprise data catalog and metadata management Enforce data governance policies ensuring quality security and compliance Enable self-service data discovery for business users Monitor and optimize BI systems and data pipelines for performance and cost-effectiveness Provide technical leadership and mentorship on data management and BI best practices Requirements
5 years in data architecture engineering and BI strategy Strong knowledge of data warehouse and data lake concepts dimensional modeling and cloud platforms (AWS Azure GCP Snowflake Databricks Redshift etc.) Proficiency in relational and non-relational databases (SQL Server Oracle PostgreSQL MongoDB) Experience with BI tools (Power BI Tableau Business Objects Looker Crystal Reports) ETL / ELT development with tools such as Azure Data Factory AWS Glue Talend Fivetran dbt Familiarity with big data technologies (Hadoop Spark Kafka) Programming skills in SQL Python or R Knowledge of data governance metadata management and cataloging Strong communication and leadership skills Preferred Skills
Experience with machine learning / analytics engines (TensorFlow PyTorch Scikit-learn) Modeling tools (MS Visio ER / Studio PowerDesigner) Prior government or public sector experience Key Skills
Fund Management Drafting End User Support Infrastructure Airlines Catia
#J-18808-Ljbffr