Overview
On Site
Full Time
Skills
Meta-data Management
Roadmaps
Quality Assurance
Data Quality
Emerging Technologies
Data Management
Storage
Analytics
Computer Science
Data Science
ERwin
Data Modeling
Data Analysis
Cloud Computing
Amazon Web Services
Real-time
Distribution
Amazon Kinesis
Apache Kafka
Data Flow
Data Warehouse
Amazon Redshift
Snow Flake Schema
Databricks
Database
IBM DB2
Microsoft SQL Server
PostgreSQL
Couchbase
MongoDB
Job Details
A client of Sharp Decisions if looking for a Data Architect. This role is ONSITE in Marysville, OH with an initial contract of 11+ months, W2 only.
Daily Tasks Performed:
Translates high-level business requirements into data models and appropriate metadata, test data, and data quality standards.
Manages senior business stakeholders to secure strong engagement and ensures that the delivery of the project aligns with longer-term strategic roadmaps.
Leads and participates in the peer review and quality assurance of project architectural artifacts Defines and manages standards, guidelines, and processes to ensure data quality.
Works with IT teams, business analysts, and data analytics teams to understand data consumers' needs and develop solutions.
Evaluates and recommends emerging technologies for data management, storage, and analytics
Establish and maintain governance frameworks for team and vendor partners to ensure the effectiveness of architecture services.as design, ordering equipment, configuring new equipment, lease replacements
Qualifications:
A bachelor's degree in computer science, data science, engineering, or related field .
At least 10 years of 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.
Daily Tasks Performed:
Translates high-level business requirements into data models and appropriate metadata, test data, and data quality standards.
Manages senior business stakeholders to secure strong engagement and ensures that the delivery of the project aligns with longer-term strategic roadmaps.
Leads and participates in the peer review and quality assurance of project architectural artifacts Defines and manages standards, guidelines, and processes to ensure data quality.
Works with IT teams, business analysts, and data analytics teams to understand data consumers' needs and develop solutions.
Evaluates and recommends emerging technologies for data management, storage, and analytics
Establish and maintain governance frameworks for team and vendor partners to ensure the effectiveness of architecture services.as design, ordering equipment, configuring new equipment, lease replacements
Qualifications:
A bachelor's degree in computer science, data science, engineering, or related field .
At least 10 years of 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.