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Title: Senior Data Architect
Start Date: ASAP
Bill Rate: TBD
Position Type: Contract 
Locations: Middletown, PA


Primary Responsibilities
  • Understand current state architecture, including pain points.
  • Create and document future state architectural options to address specific issues or initiatives.
  • Maintain in-depth and current knowledge of the Cloud architecture, Data lake, Data warehouse, BI, IoT platform, Platform to develop and deploy advanced analytics models and ETL tools
  • Work with both technical and business stakeholders to understand data needs for projects.
  • Perform any of the following as needed: requirement analysis, data profiling, effort estimation for database and data warehouse design and development.
  • Provide thought leadership around the use of industry standard tools and models (including commercially available models and tools) by leveraging experience and current industry trends.
  • Provide guidance on the creation and best practices around Data Governance, Data Stewardship and overall Data Quality initiatives and processes as part of the overall data effort.
  • Develop and maintain conceptual, logical, and physical data modeling in a relation database, Bigdata, in-memory and MPP architectures.
  • Develop and maintain conceptual, logical, and physical data modeling in a relational database, Bigdata, in-memory and MPP architectures.
  • Design and model the data architecture by combining data from SAP and non-SAP systems as well as structed and unstructured data
  • Collaborate with the Enterprise Architect, consulting partners and client IT team as warranted to establish and implement strategic initiatives.
  • Make recommendations and assess proposals for optimization.
  • Identify operational issues and recommend and implement strategies to resolve problems.
Qualifications
  • 8+ years implementing enterprise Data & Analytical solutions in a complex environment including structured and unstructured data.
  • 5+ years working as a Solution Architect with depth in data integration and data architecture for Enterprise Data Warehouse implementations (conceptual, logical, physical & dimensional models).
  • 3+ Experienced in AWS data lakes and its services like S3, Athena, RDS, EC2, Sage maker and Redshift
  • Multiple experiences implementing solutions for advance analytics using open source (Cloudera based solutions and AWS based solutions are preferred)
  • Experience in Cloudera Data Science Workbench or AWS/Azure Advance Analytics platform, with strong curiosity to learn and apply data science techniques. Experience in building data science models is a plus
  • Sound knowledge of Shell Scripting. Ability to collaborate with management, users, contract resources, vendors, and other IT teams
  • Strong problem-solving capabilities. Results oriented. Relies on fact-based logic for decision-making.
  • Experience designing and implementing ETL/ELT strategies (Talend, BODS)
  • Ability to work with multiple projects and work streams at one time. Must be able to deliver results based upon project deadlines.
  • Willing to flex daily work schedule to allow for time-zone differences for global team communications
  • Strong interpersonal and communication skills
Physical Demands
  • Ability to safely and successfully perform the essential job functions consistent with the ADA and other federal, state and local standards
  • Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc.
  • Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard and monitor
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