Data Quality & Governance Lead

TIAA

Dallas (TX)

In loco

USD 121.000 - 165.000

Tempo pieno

7 giorni fa
Candidati tra i primi

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Descrizione del lavoro

TIAA in Dallas seeks a Lead Data Quality and Governance Analyst to drive data quality, governance, and data engineering initiatives across the enterprise. You will ensure data is accurate, reliable, and fit for business use, using Splunk, Kafka, ETL, JSON, and varied data formats.

You will lead standards, monitor quality, design ETL processes, collaborate with cross-functional teams, develop dashboards and metrics, mentor others, and push continuous improvement in data controls and integrity.

Competenze

  • Bachelor's degree in a relevant field.
  • 5+ years in data quality, governance, or data engineering.
  • 3+ years hands-on with Splunk, Kafka, and ETL.
  • Experience with structured, semi-structured (JSON) and unstructured data.

Mansioni

  • Lead implementation of data quality, governance, and data management standards, controls, tools, and processes.
  • Monitor data quality metrics, perform data validation and audits, identify issues, and drive remediation.
  • Strengthen governance and controls throughout the end-to-end data lifecycle.
  • Design and support ETL/data integration processes supporting reliable and consistent data flows.
  • Work with Kafka-based streaming/event data, JSON, and structured, semi-structured, and unstructured data.
  • Leverage Splunk for data analysis, monitoring, troubleshooting, validation, and operational insights.
  • Support master data management and enterprise data standards while identifying opportunities to improve data integrity and availability.
  • Develop and enhance reports, dashboards, metrics, and trend analysis to support data-driven decisions.
  • Partner across business, technology, data engineering, and governance teams to resolve data issues and implement improvements.
  • Provide subject matter expertise, mentor team members, and drive adoption of new processes and methodologies.

Conoscenze

Data quality
Data governance
Data engineering
Splunk
Apache Kafka
ETL development
JSON/Unstructured data
Stakeholder collaboration

Formazione

Bachelor's Degree

Strumenti

Splunk
Apache Kafka
ETL tools
JSON

Descrizione del lavoro

TIAA in Dallas seeks a Lead Data Quality and Governance Analyst to drive data quality, governance, and data engineering initiatives across the enterprise. You will ensure data is accurate, reliable, and fit for business use, using Splunk, Kafka, ETL, JSON, and varied data formats.

You will lead standards, monitor quality, design ETL processes, collaborate with cross-functional teams, develop dashboards and metrics, mentor others, and push continuous improvement in data controls and integrity.

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