Technical Architect

Overview

Hybrid
$80 - $85
Contract - W2
Contract - Independent
Contract - 6 Month(s)

Skills

data quality
Data governance
ETL
Collibra
Informatica

Job Details

Title: Technical Architect

Location: Bentonville AR (Hybrid role)

Duration: 6 Months contract

Description:

Orchestrate the design of the ETL framework by understanding the requirements and creating the use case with business inputs, along with creating high level and low-level documents.

  • Design and establish enterprise-wide data governance strategies, policies, and frameworks.
  • Align data governance initiatives with business objectives and regulatory requirements.
  • Lead the development effort to implementation of the overall process, which includes proposing the most appropriate and innovative tool to meet the business requirements and project budget.
  • Design and Implement Architectural diagrams for the use case and create the data flow. Suggest best practices or standards, embrace redundancy, use commodity servers, create a data integration process, and use compression to build multiple environments (Dev, Test, and Prod).
  • Design and establish enterprise-wide data governance strategies, policies, and frameworks.
  • Evaluate, implement, and manage data governance tools (Collibra, Informatica, etc).
  • Align data governance initiatives with business objectives and regulatory requirements.
  • Develop complex data quality rules using regular expressions.
  • Monitor data quality KPIs and create dashboards or reports to communicate results to stakeholders.
  • Identify and analyze data quality issues across systems and domains.
  • Collaborate with business and IT teams to develop and implement remediation strategies.
  • Promote a culture of continuous improvement in data quality and governance.
  • Handling log files for debugging job failure. Creating an automated process to purge the historical log files to maintain and monitor the system along with the Admin team.
  • Create Query using the best practices by implementing bucket and partitioning concepts for data quality checks.
  • Translate functional requirements into detailed design and take signoff from the rightful stakeholders, thereby finalizing the SLA and business needs to prepare the UAT use cases.
  • Participate in user s calls and provide solutions for Data Quality issues.
  • Generation of various data reports required by Users / Clients for reporting.
  • Support queries from other applications/ consumers on Data requests/ process understanding.
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