AWS Data Architecture/Security Expert

1 week ago

Marysville, United States Futran Tech Solutions Pvt. Ltd. Full time
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

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