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Senior Data Engineer I

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Job ID: 7073

Updated: Apr 7, 2023

Location: Austin, TX, United States

Category: Information Technology


About Kirkland & Ellis

At Kirkland & Ellis, we are united in our ambition and drive to move forward. We share core values that help us achieve excellence: collaboration, talent empowerment, service, inclusion, respect and gratitude. Our people are our greatest asset, and we invest in the brightest talent and encourage a diversity of perspectives and strengths to create dynamic teams that operate at the pinnacle of their field. Our talented professionals show up every day knowing they will engage in meaningful work, continuous learning and professional development.
As one of the world’s leading law firms, we serve a broad range of clients with market-leading practices in private equity, M&A and other complex corporate transactions; investment fund formation and management; restructurings; high-stakes litigation and trials; and government, regulatory and internal investigations. We handle the most complicated and sophisticated legal matters because we don’t just meet industry standards, we create them. We bring innovation and entrepreneurialism to every engagement and, as a result, have long-standing client relationships with leading global corporations and financial sponsors. With 6,500 employees (including 3,500+ lawyers) operating from 19 offices across the United States, Europe and Asia, we are one of the largest law firms in the world and a top financial performer.

Essential Job Functions

  • Owns and drives Kirkland & Ellis data integration solutions in terms of design, build and deployment, DevOps with best-in-class data models, data quality and data architecture standards   
  • Possesses strong data capabilities in terms of data analysis, data models, and hands on expertise in crafting and deploying data pipes using Azure data platform and tools, as well as enterprise ETL tool Talend, leveraging its DQ, DI and Data Catalogue features.    

Essential Functions: (This list is not exhaustive and may be supplemented and changed as necessary.)

  • Accountable for the technical leadership regarding the data integration solutions and delivery. Ensuring a sound and best in class design, with enterprise implementation, deployment and operational meets the technical quality standards
  • Responsible for planning and coordinating in carving out the needed dev/test environments, as well as defining and managing code branching/config strategies supporting concurrent releases
  • Works with Data and Enterprise architecture team to define the data integration design/coding/deployment/operational standards and technology stack
  • Responsible for data operations, in terms of scheduling, successful execution, and reconciliation of the data pipes in production   
  • Works collaboratively with other dev teams to guide and review their deliverables against the set standards
  • Works collaboratively with Data Analytics, applications, DBA, and cloud operations teams to ensure end to end integrity and usage of data assets. 
  • Provides inputs in shaping K&E DevOps and DataOps practices
  • Partners with internal and external data experts to infuse innovation with focus on cross training and upskilling the existing teams. 

Other Functions: (This list is not exhaustive and may be supplemented and changed as necessary. Delete if not applicable.)

Fosters and promotes heathy working relationships across the board to propagate end-to-end value of data

Qualifications & Requirements

Education, Work Experience, Skills:

  • Bachelor’s degree in data, computer science or relevant discipline.
  • 8+ years of experience in ETL, ELT and data engineering
  • At least 3+ years of working experience on Azure data platforms
  • Experience working in agile delivery, Jira usage and other agile delivery best practices
  • Data architecture, Data Modeling, and data visualization experience is a plus
  • Ability to interact with business, other teams to create data mapping documents, ETL architecture/design artifacts, performance improvements, improve delivery & operational excellence.


  • 8+ years of end-to-end implementation experience of deploying enterprise data warehouse, data mart and data lake solutions
  • 3+ years of working experience with Azure data solutions including but not limited to ADLS, Data Bricks, ADF, Synapse etc
  • Azure ADLS/Databricks administration experience
  • 5+ years of Implementation and maintenance experience with Talend DI, DQ capabilities
  • Demonstrable understanding of Data Governance, and enabling technical tools and technologies

Certificates, Licensures, Registrations:

  • Certification in Azure cloud stack, Talend Data Integration Certified Administrator/Developer will be a plus  

How to Apply

Thank you for your interest in Kirkland & Ellis LLP.  To complete an application and submit your resume, please click "Apply Now."

Equal Employment Opportunity

All employment decisions, including the recruiting, hiring, placement, training availability, promotion, compensation, evaluation, disciplinary actions, and termination of employment (if necessary) are made without regard to the employee’s race, color, creed, religion, sex, pregnancy or childbirth, personal appearance, family responsibilities, sexual orientation or preference, gender identity, political affiliation, source of income, place of residence, national or ethnic origin, ancestry, age, marital status, military veteran status, unfavorable discharge from military service, physical or mental disability, or on any other basis prohibited by applicable law.

Closing Statement

The job postings and recruiting mailbox are for candidates only. If you are a recruiter, search firm or employment agency, and do not have a signed contract with Kirkland & Ellis LLP ("K&E") and have not been asked specifically to submit candidates, you will not be compensated in any way for your referral of a candidate even if K&E hires the candidate. Direct contact with K&E employees in an attempt to present candidates is inappropriate and will be a factor in determining any future professional relationship with the Firm. #LI-Hybrid #LI-LC1