Overview
On Site
Full Time
Skills
Data Modeling
ERwin
Data Warehouse
Cloud Computing
Amazon Web Services
Snow Flake Schema
Amazon Redshift
Databricks
Microsoft SQL Server
PostgreSQL
MongoDB
Business Intelligence
Software Design
Regulatory Compliance
Storage
Data Security
Privacy
Layout
Database
Database Administration
Data Storage
Access Control
Extract
Transform
Load
Orchestration
Data Governance
Job Details
A client of Sharp Decisions is looking for a Data Architect . This role is HYBRID in Marysville, OH (4 days on-site. 1 day remote) with an initial contract of 12 months.
Key Competencies:
What will this person be working on:
Understand data confidentiality, security, compliance needs and apply data protection rules including data sharing, filtering, and fencing at storage, compute, and consumption layers.
Design data protection solutions at database, table, column level and APIs based on enterprise standard data security, privacy, architecture principles and reference architectures.
Design the structure and layout of data systems, including databases, warehouses, and lakes Select and implement database management systems that meet the organizations needs by defining data schemas, optimizing data storage, and establishing data access controls and security measures
Deliver exceptional business value by enhancing data pipeline performance, ensuring timely orchestration, and upholding data governance.
Key Competencies:
- Bachelor's degree
- 10+ years of experience in data modeling (Erwin), data warehousing, and analysis.
- Strong in cloud data tools like AWS, Snowflake, Redshift, and Databricks.
- Knowledge of data security and governance at all data layers.
- Skilled in databases like SQL Server, PostgreSQL, MongoDB, and BI tools.
- Clear communicator and team leader with strong solution design skills.
What will this person be working on:
Understand data confidentiality, security, compliance needs and apply data protection rules including data sharing, filtering, and fencing at storage, compute, and consumption layers.
Design data protection solutions at database, table, column level and APIs based on enterprise standard data security, privacy, architecture principles and reference architectures.
Design the structure and layout of data systems, including databases, warehouses, and lakes Select and implement database management systems that meet the organizations needs by defining data schemas, optimizing data storage, and establishing data access controls and security measures
Deliver exceptional business value by enhancing data pipeline performance, ensuring timely orchestration, and upholding data governance.
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.