Data Architect

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12 Month(s)

Skills

IT Management
Data Modeling
Data Structure
Data Warehouse
ER/Studio
ERwin
Management
Big Data
Business Process
Cloud Computing
Data Engineering
Data Governance
API
Agile
Amazon Web Services
Analytical Skill
Analytics
Apache Kafka
Qlik Sense
Qlikview
Reference Data
Tableau
Visualization
Master Data Management
Meta-data Management
NoSQL
PySpark
Python
SQL

Job Details

Role: Data Architect

Location: Reading PA HYBRID- onsite (minimum 3 days)

Duration: Contract

Architect - Data

  • 14+ years of experience in IT
  • 12+ years of Data Engineering, Data Modeling, Data Warehousing, Master Data Management, Reference Data Management, Data Lineage, Data Governance and Meta Data Management experience required
  • 10+ years of experience in defining Data & Analytics architecture implementing multiple large volume projects across on Prem and on cloud environments. Preferably AWS cloud.
  • 7+ years of experience collaborating with Agile teams preferred
  • Expertise in designing, validating, and implementing multiple projects across the hybrid infrastructure (On-cloud to On-Premises and vice versa)
  • Expertise in setting up Data Lakes and analytical environments
  • Expertise with Data Engineering/Big data tools such as Python, PySpark, Kafka, API s, Talend and BODS, etc.
  • Expertise with relational SQL and NoSQL databases
  • Experience in building data pipelines, data ingestions, data integrations, data preparations, and traditional Data warehouses and Datamarts
  • Experience in building processes supporting data transformation, data structures, metadata, dependency, and workload management
  • Strong experience with data modelling techniques utilizing tools such as Erwin, ER Studio etc.
  • Experience with visualization tools such as QlikView, Qlik Sense, Tableau, etc.
  • Experience in message queuing, stream processing, and highly scalable big data data stores
  • Meet with Senior & Mid-Level Management to align business process initiatives and strategies with current and planned Penske Data Engineering & Analytics Architecture
  • Evaluate Data Engineering & Analytics Tools/Techniques/ Approaches and determine impact on strategic objectives and manage overall implementation
  • Be the primary contact and technical lead for multiple critical programs and integrations and resolve customer issues in a timely man

Alchemy: Transforming Your Professional Vision into Reality

Since our inception in 2013, Alchemy has been dedicated to reshaping organizational performance through innovative IT services. With a vision to empower businesses seeking a transformative edge, we ve positioned ourselves at the forefront of digitization and software modernization.

Our name reflects our mission: to transmute technology into gold-standard solutions for our esteemed clients. We proudly serve a diverse range of sectors, including IT and ITES, BFSI, Telecom and Media, Automotive, Manufacturing, Energy, Oil and Gas, Real Estate, Retail, Healthcare, and more.

With a global footprint spanning the USA, India, Europe, Canada, Singapore, Japan, and parts of Central and West Africa, we harness a unique blend of competencies, frameworks, and cutting-edge technologies. Together, we drive growth and innovation across industries, helping organizations turn their visions into reality.

Alchemy Connecting Talent with Opportunities (Diversity, Equity and Inclusion)

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.