Aws Data Architect
Marysville, OH 43041 United States
Job Description
Job Type – Contract
Title: AWS Data Architecture/Security Expert
Location – Marysville Ohio Onsite
Responsibilities
- 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 organization's 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.
- 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
Requirements
- A bachelor's degree in computer science, data science, engineering, or related field At least five years of relevant experience in design and implementation of data models for enterprise data warehouse initiatives
- Experience leading projects involving 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, Azure, GCP), real-time data distribution (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 quality tools and techniques.
- Ability to assess traditional and modern data architecture components 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
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