FreshRemote.Work

Data Platform Technical Lead

United States

At AlixPartners, we solve the most complex and critical challenges by moving quickly from analysis to action when it really matters; creating value that has a lasting impact on companies, their people, and the communities they serve. By understanding, respecting, and honoring the needs of our employees, clients, and communities, AlixPartners actively promotes an inclusive environment. We strongly believe in the value that diversity brings to our experiences and are committed to the perpetual enhancements of initiatives, policies, and practices. We hold ourselves accountable by providing the space for authenticity, growth, and equity for everyone.   AlixPartners has embraced a hybrid work model to provide flexibility and support our employees’ work-life integration. Our hybrid model combines a mix of in-person (at client site or AlixPartners office) and remote working. Travel is part of this position, but the frequency may vary based on client, team, and individual circumstances.

What you’ll do

We are seeking a seasoned and energetic Technical Lead to collaborate closely with our Data Engineers and Product Owner. The ideal candidate will possess a robust background in data engineering, exceptional leadership abilities, and a proven track record in developing data-driven solutions. You will be accountable for supervising the design, development, and upkeep of our data platform, ensuring the delivery of top-notch data products.

This role is a blend of software engineering leadership and business sensibility applied towards pushing our consulting business to the forefront of technical solutioning. You will propel technical solutions to enterprise maturity to advance our data platform for the firm.

This is a full time Director position. Relocation assistance is not available for this position.

Key Responsibilities:

  • Foster collaboration and communication between engineering, product, and stakeholders across the firm from IT, client delivery, and corporate services.  Act as a bridge between technical and non-technical stakeholders to ensure a shared understanding of data requirements and priorities.
  • Lead and mentor a team of Data Engineers, providing technical guidance and support:
    • Oversee the design, development, and maintenance of data pipelines, ETL processes, and data integration solutions.
    • Ensure data accuracy, consistency, and integrity across various data sources and systems.
    • Implement best practices for data engineering, including code reviews, testing, and documentation.
    • Utilize technologies such as Python, Spark, Databricks, and Azure to build and optimize data workflows.
  • Manage and optimize data storage solutions, ensuring performance and cost­ efficiency.
  • Contribute to the development of data governance and data quality standards.
  • Stay up-to-date with the latest industry trends and technologies and drive continuous improvement within the team.

This description is not designed to encompass a comprehensive listing of required activities, duties or responsibilities.

What you’ll need 

Preferred Qualifications:
  • Experience with big data technologies and frameworks.
  • Knowledge of data governance and data quality best practices.
  • Certification in data engineering or related fields.

Qualifications:

  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • 10+ years of experience in Data Engineer roles.
  • 7+ years of experience in data engineering technologies, including Python, Spark, Databricks, and Azure.
  • 5+ years of experience on technical leadership roles.
  • Strong knowledge of data pipelines, ETL processes, and data integration solutions.
  • Excellent leadership and team management skills.
  • Excellent communication skills in English, both written and verbal.
  • Ability to work collaboratively in a fast-paced, dynamic environment.
  • Strong analytical and problem-solving abilities.
  • Willingness to work outside of normal business hours, and in particular as unique projects/needs arise.
  • Ability to work full time in an office and remote environment; physically able to sit/stand at a computer and work in front of a computer screen for significant portions of the workday.
  • Must become familiar with, and promote and abide by, our Core Values as defined by the AlixPartners’ Code of Conduct and foster an inclusive environment with people at all levels of an organization.

The firm offers a comprehensive benefits program including health, vision, dental, disability, 401K, tuition reimbursement, identity theft protection, and mental wellness support. Employees will also receive a generous paid leave policy including vacation/personal time starting at 5.67 hours per pay period, sick time up to 80 hours annually, parental leave and twelve holidays.  

 

The salary range for this role takes into account a number of factors and is between $170,000/year - $400,000/year with potential eligibility for an annual discretionary bonus.

AlixPartners is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to, among other things, race, color, religion, sex, sexual orientation, gender identity, national origin, age, status as a protected veteran, or disability. AlixPartners is a proud Silver award-winning Veteran Friendly Employer.

This job will remain posted until 07/31/2025

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Job Profile

Regions

North America

Countries

United States

Restrictions

Hybrid work model Relocation assistance not available

Benefits/Perks

Flexibility Hybrid work Hybrid work model Inclusive environment

Tasks
  • Contribute to data governance standards
  • Ensure data accuracy and integrity
  • Implement best practices for data engineering
  • Lead and mentor data engineers
  • Manage data storage solutions
  • Supervise design and development of data platform
Skills

Analytical Azure Communication Consulting Databricks Data engineering Data Governance Data Integration Data Pipelines Data Quality ETL Processes Leadership Problem-solving Python Spark

Experience

10 years

Education

Bachelor's degree in Computer Science Bachelor’s degree in Information Technology Bachelor’s Degree in Related Field

Certifications

Data engineering certification

Timezones

America/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9