Lead Data Engineer Austin TX/Sunnyvale CA(Hybrid Locals)

Hi,

Warm wishes to you. I am Symponia from Lambdanets.

We currently have an opening with one of our clients, please let me know if you are available for this role.

Role: Lead Data Engineer at Austin, TX/ Sunnyvale, CA - (Hybrid Locals Only)

Location: Austin, TX/ Sunnyvale, CA - (Hybrid Locals Only)
Duration: 12 months

Experience: 10+

Job Description:

Key Responsibilities:

• Lead business data architecture efforts within Legal Operations in collaboration with cross-functional stakeholders.
• Define and maintain canonical data definitions and standards across legal, billing, vendor, litigation, patent, contract, and compliance domains.
• Partner with Legal Ops leadership to implement scalable data governance practices that align with enterprise data strategies.
• Conduct current-state assessments and design optimized, future-state data flows that support transformation goals.
• Identify and resolve data quality and integrity issues through root-cause analysis and hands-on remediation, leveraging AI tools where appropriate.
• Shape and execute a strategy for making business data AI-ready, including proper labeling, enrichment, and structuring for downstream analytics and ML use cases.
• Translate complex business needs into detailed technical and operational data requirements.
• Engage confidently with both business and technical stakeholders to drive alignment and adoption.

Key Qualifications:

• 10+ years of experience in business data analysis, data architecture, or related fields.
• Proven success in transformation initiatives or large-scale enterprise change programs.
• Deep understanding of enterprise data management, governance, and quality frameworks.
• Experience with Salesforce, Snowflake, and Tableau to support reporting, data modeling, and analytics needs.
• Strong SQL skills, with working knowledge of data profiling tools and techniques.
• Exposure to machine learning (ML) concepts and best practices for structuring data to support AI use cases.
• Experience using or guiding the use of AI/ML technologies for data remediation, categorization, or enrichment.
• Excellent facilitation and documentation skills; able to drive consensus and clarity across varied stakeholders.
• Highly detail-oriented, hands-on, and pragmatic-able to toggle between strategy and execution.
• Demonstrated ability to navigate complex, matrixed environments in large tech or enterprise settings.
• Familiarity with legal operations, billing systems, or professional services environments is a strong plus.
• Self-starter with a high sense of ownership, accountability, and follow-through.

Symponia

Lambdanets

2929 Kenny Rd, Suite 210,Columbus Ohio,43221

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