AWS Data Architecture/Security Expert

Apply Now

Company: Futran Tech Solutions Pvt. Ltd.

Location: Marysville, OH 43040

Description:

Position: AWS Data Architecture/Security Expert

Location: Marysville, OH (Onsite Role)

long Term Contract

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