Data Technical Architect
- SRS Consulting Inc.
11 Days Ago
NA
NA
Bentonville-AR
14-20 Years
Required Skills: Data Quality, Data Governance, Data Quality tools, Collabra, Informatica, Apiann, drools, Talend
Job Description
Role: Technical Architect
Location: Bentonville AR (Hybrid role)
Duration: 6 Months contract
Client: BayOne / Walmart
Strong in Data Quality, Data Governance, Data Quality tools- Collabra, Informatica, Apiann, drools, Talend etc.
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.
