Lead Data Architect(Locals to TX/CA preferred)

Hybrid in Austin, TX, US • Posted 10 hours ago • Updated 10 hours ago
Contract Corp To Corp
Contract W2
24 Months
No Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • data governance
  • master data management (MDM)
  • metadata management
  • data quality
  • ETL/ELT pipelines
  • data integration frameworks
  • Advanced SQL
  • Python
  • AI
  • SQL Server
  • Oracle
  • PostgreSQL
  • MySQL
  • Snowflake
  • and Azure-based data
  • Lead data cleansing
  • reconciliation
  • validation
  • and root-cause analysis

Summary

Role: Lead Data Architect
Location: Austin, TX/Cupertino, CA ( Locals Preferred)
Duration: long term

·         12+ years of experience delivering data engineering, analytics, and business intelligence solutions in legal, corporate, and highly regulated environments.
·         Expertise in Legal Matter Management systems, eBilling platforms, legal spend analysis, matter lifecycle management, invoice validation, accrual reporting, request management, and legal operations analytics.
·         Design and develop scalable ETL/ELT pipelines, data integration frameworks, and cloud-based data architectures to support enterprise reporting and AI initiatives.
·         Advanced SQL and Python skills for data extraction, transformation, automation, optimization, analytics, and machine learning applications.
·         Extensive experience with SQL Server, Oracle, PostgreSQL, MySQL, Snowflake, and Azure-based data platforms.
·         Build semantic layer and executive dashboards, KPI scorecards, and operational reporting solutions using Business Objects, Tableau.
·         Implement data governance, master data management (MDM), metadata management, and data quality frameworks to ensure compliance and data integrity.
·         Support legal, finance, procurement, and executive stakeholders with actionable insights that drive strategic decision-making and operational efficiency.
·         Leverage AI-powered tools and generative AI technologies to automate workflows, enhance analytics, improve documentation, and increase productivity.
·         Lead data cleansing, reconciliation, validation, and root-cause analysis initiatives to improve reporting accuracy and business confidence.


Srini
vasuatsrinavdotnet
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.
  • Dice Id: 10114049
  • Position Id: 9016389
  • Posted 10 hours ago
Contact the job poster
VV

Vasu Vemula

Recruiter @ Srinav Inc.
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