Enterprise Data Architect

  • Bellevue, WA
  • Posted 5 hours ago | Updated 5 hours ago

Overview

Hybrid
Up to $85
Accepts corp to corp applications
Contract - W2
Contract - 12 Month(s)
50% Travel

Skills

Databricks
Python
Redshift
Data Architect

Job Details

Hi Professionals
This is Shubham from APEX-2000 INC.
We have a position for Enterprise Data Architect
End Client: Multiple
Implementing: Infosys
HYBRID POSITION

JD:

Job Description :

  • Communicates solution designs clearly in multiple modes of communication diagrams, documents, verbally.
  • Provides support to other Architects on assessments and work-effort estimates for the business and routinely as part of the project intake process for our architecture team.
  • Develops proof-of-concept (POC) and prototypes to help illustrate approaches to technology and business problems.
  • Actively aid the team s knowledge and drive new capabilities forward
  • Unify collections of data requirements for key data concepts across the enterprise, harmonizing business definitions and semantics, and specifying data designs expressed as business semantic models, data models, lifecycle models, taxonomies, etc.
  • Set enterprise agenda for Reference Model Architecture and Standards for presenting direction of Information Architecture
  • Stay abreast of information management trends and standards, master data management, data services, self-service business intelligence, metadata management, data quality, and data governance.
  • Conduct industry research & trends for setting the direction of Data Architecture
  • Architect, design, and implement enterprise-class relational and dimensional data models to support business intelligence and analytics initiatives.
  • Partner with leadership, solution architects, and development teams to align data architecture initiatives with business goals and ensure seamless integration of solutions.
  • Develop frameworks, utilities, and reusable components to increase the productivity and efficiency of the data engineering team.
  • Continuously evaluate and refine data architecture standards, ensuring alignment with industry expect new technologies.
  • Lead efforts to improve data governance, security, and compliance across enterprise data platforms.
  • Act as a subject matter expert to teams through architectural decisions, balancing technical excellence with business priorities.

Work Experience:

  • 7-10 years Progressive experience in software engineering/enterprise architecture/technology leadership across multiple products, systems and/or platforms coupled with strong business discernment and executive presence
  • 7-10 years Experience working in solutions design and enterprise architecture delivering IT solutions

Knowledge, Skills:

  • Data Modeling and Design: Proficient in designing and implementing data models, including relational, NoSQL, and data lake architectures
  • Expertise in relational databases (SQL) and NoSQL databases SQL
  • Data Warehousing and ETL: Deep understanding of data warehousing concepts, ETL (Extract, Transform, Load) processes, and data pipelines
  • Databricks
  • Redshift
  • Python
  • Cloud Technologies: Familiarity with cloud platforms (Azure, Google Cloud Platform, AWS) and their data services
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