Data Engineering Lead: Pipelines, QA & AI

Corient; Austin (TX); On-site; USD 150,000 - 230,000; Full time

Job summary

Corient, a leading wealth management firm in Austin, TX, seeks a senior data engineering leader to guide a team of data engineers and to shape scalable data platforms for reporting, analytics, and data science.

You will drive data quality, governance, and operational excellence while partnering with Analytics, Operations, and Business teams to deliver robust data solutions in a fast-paced environment.

Qualifications

• 8–12+ years of experience in data engineering, data platform development, or analytics engineering.
• 3–5+ years of experience leading engineering teams.
• Background in Financial Services, consulting, or high-growth technology environments preferred.
• Distinguished academic track record in data, computer science, or related discipline.
• Proven experience building enterprise data platforms supporting reporting and analytics.
• Hands-on experience with data modeling, ETL/ELT pipelines, analytics engineering, and data operations.
• Proficiency in data engineering languages, frameworks, and tooling, including SQL, Python, and DBT.
• Strong analytical, problem-solving, and critical thinking skills.
• Effective communication, both orally and in writing.

Responsibilities

• Lead, mentor, and develop a team of data engineers supporting reporting, analytics, data science, AI, and data quality initiatives.
• Plan and manage delivery of data projects across multiple concurrent data initiatives.
• Establish engineering best practices across data pipelines, modeling, data quality, lineage, metadata management, documentation and operational monitoring.
• Oversee sprint planning, backlog prioritization, and execution across multiple data initiatives.
• Design, architect, develop, and maintain robust and scalable data pipelines, transformations, models, and workflows.
• Develop and operate automated data jobs for data science, analytics, and reporting purposes.
• Implement automated QA analytics, reconciliations, and monitoring to ensure data integrity across enterprise platforms and enterprise data layer.
• Establish data quality frameworks including validation, monitoring, reconciliation, and alerting, ensuring strong governance around data accuracy, completeness, and timeliness across critical datasets.
• Support Analytics, Operations, and Business teams in data initiatives, deeply understanding functional requirements and delivering data solutions that meet these needs in a timely and reliable fashion.

Skills

Data leadership

SQL

Python

DBT

Data modeling

ETL/ELT

Communication

Documentation

Independence

Education

Computer Science degree

Tools

SQL

Python

DBT

Job description

Corient, a leading wealth management firm in Austin, TX, seeks a senior data engineering leader to guide a team of data engineers and to shape scalable data platforms for reporting, analytics, and data science.

You will drive data quality, governance, and operational excellence while partnering with Analytics, Operations, and Business teams to deliver robust data solutions in a fast-paced environment.