Senior Manager, Software Engineering – Data

Credit Acceptance

Senior Manager Software Engineering, Data at Credit Acceptance leading data engineering teams and enhancing data platforms. Ensuring alignment between business priorities and technical solutions through effective leadership.

Posted 6/21/2026full-timeRemote • 🇮🇳 IndiaSenior💰 ₹7,131,986 - ₹10,460,246 per yearWebsite

Tech Stack

Tools & technologies

CloudDistributed SystemsPySparkPythonSQL

About the role

Key responsibilities & impact

Lead, coach, and develop a team of data engineers, providing clear direction, feedback, and career growth opportunities
Foster a culture of ownership, accountability, and continuous learning
Drive strong engagement through effective 1:1s, performance management, and team development planning
Own the successful delivery of end-to-end data pipelines and platform capabilities across batch and streaming architectures
Ensure high standards for data quality, scalability, reliability, and observability
Partner with Product, Analytics, and Business teams to ensure delivery aligns with business needs
Provide architectural guidance and technical direction across the data domain
Ensure adherence to engineering standards, best practices, and design principles
Champion coding standards, testing practices, and CI/CD adoption to ensure high-quality, production-grade systems
Serve as the primary point of contact for stakeholders within the data domain
Communicate progress, risks, and outcomes clearly to both technical and non-technical audiences

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Information Systems, or related field; or equivalent experience
6+ years of software engineering experience, with strong expertise in data platforms and systems
6+ years of people leadership experience managing engineering teams
Strong background in: Data Lake and Lakehouse architectures
Data engineering and pipeline development (batch and streaming)
Programming (Python, SQL, PySpark) and data modeling
Cloud data platforms and distributed systems
Experience delivering enterprise-scale data solutions
Demonstrated ability to lead teams in Agile environments

Benefits

Comp & perks

Flexible work options including work from home, on site and hybrid positions
Company provided technology packages for all Team Members
An atmosphere that is collaborative, challenging, and filled with forward thinking Team Members
Extensive growth opportunities as demonstrated by our track record of promoting internally
Ongoing business training and career development opportunities
Competitive market-based salary with bonus compensation, quarterly profit sharing and annual merit bonuses
Generous PTO and holidays that include 27.5 total days during first full year of employment
Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data engineeringdata pipeline developmentPythonSQLPySparkdata modelingData Lake architectureLakehouse architecturecloud data platformsdistributed systems

Soft Skills

leadershipcoachingcommunicationperformance managementteam developmentaccountabilityownershipcontinuous learningstakeholder engagementclear direction

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in Information Systems