Senior Manager Software Engineering, Data (Employer of Record)
Credit Acceptance
IndiaremotePosted 1 month ago
Skill Required
Data-Engineering-ManagementSoftware-Engineering-LeadershipData-Platform-EngineeringPeople-LeadershipTechnology-LeadershipSenior-Data-Engineering-ManagerSenior-Engineering-Manager-Data-SystemsSoftware-Engineering-ManagerSenior-Data-Engineering-LeaderData EngineerEngineering ManagerSoftware EngineerSoftware Developersoftware engineeringEngineeringSystem Designdata engineeringrelated fieldObservabilityR ProgrammingDatabricksanalyticsAirflowfintechSparkTestNGKafkaPythondesignCI/CDAgileClouddbtSQLAWSandCICDFulltime
Key highlights
- CTC Range: ₹ 71,31,986 - ₹ 1,04,60,246
- 6+ years software engineering and people leadership experience
- Remote work from India via EoR partner
- Required overlap with U.S. business hours
- Focus on Data Lake/Lakehouse and batch/streaming pipelines
Role overview
Credit Acceptance is an award-winning used car finance company with a world-class culture shaped by dedicated Team Members. In this role, you will work as a dedicated member of a globally distributed team, partnering closely with business partners in the U.S. to design, build, and scale solutions that directly impact customers and operations. This position will work remotely from India. While your legal employer will be an EoR partner, you will be fully integrated into the Credit Acceptance team for day-to-day work and collaboration.
Responsibilities
- 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
- Ensure the team operates with a One Team mindset, collaborating effectively across functions
- 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
- Drive execution against priorities, balancing speed, quality, and technical sustainability
- 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
- Anticipate risks related to performance, scalability, and data quality and proactively mitigate them
- Support the adoption of modern data technologies and frameworks
- Translate business strategy into clear technical priorities and execution plans
- Ensure alignment between long-term data platform strategy and near-term delivery goals
- Lead prioritization discussions, balancing competing demands and resource constraints
- Drive cross-functional initiatives that elevate the organization’s data capabilities
- Champion coding standards, testing practices, and CI/CD adoption to ensure high-quality, production-grade systems
- Promote a culture of experimentation, continuous improvement, and innovation
- Lead efforts to improve team processes, system design, and delivery efficiency
- Ensure strong documentation and maintainability of 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
- Build strong cross-functional relationships to enable effective collaboration
- Regularly overlap with U.S. business hours to support collaboration with global team members
- Remain compliant with our policies, processes and guidelines
- Attendance as required by department
- All other duties as assigned
Requirements
- 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
- 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
- Ability to lead teams delivering large-scale, complex data initiatives
- Strong business acumen and ability to connect technical decisions to business outcomes
- Proven ability to mentor engineers and elevate team performance
- Excellent communication and stakeholder management skills
- Demonstrated ability to drive change, challenge the status quo, and deliver results
Nice to have
- Experience with modern data platforms (e.g., Databricks, Spark, Kafka)
- Familiarity with AWS data services (e.g., S3, Glue, Lambda)
- Experience with orchestration and transformation frameworks (e.g., Airflow, dbt, Dagster)
- Strong understanding of data governance, lineage, and quality frameworks
- Experience in financial services or FinTech
Benefits
- Locally compliant payroll, benefits, and statutory coverage through the EoR partner
Additional details
- Competency - Customer Empathy: The ability to understand the perspectives, pain points, and experiences of customers to provide a better, more customer-centric experience.
- Competency - Engineering Excellence: Bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business through high standards and innovation.
- Competency - One Team: A collaborative approach across the organization where individuals work together seamlessly as a single, cohesive team with shared goals.
- Competency - Owner’s Mindset: Adopting behaviors that reflect responsibility, accountability, strategic thinking, and a proactive approach to managing your domain.
- Company Value - Positive: maintaining resiliency and focusing on solutions.
- Company Value - Respectful: collaborating and actively listening.
- Company Value - Insightful: cultivating innovation, accumulating business and role specific knowledge, demonstrating self-awareness and making quality decisions.
- Company Value - Direct: effectively communicating and conveying courage.
- Company Value - Earnest: taking accountability, applying feedback and effectively planning and priority setting.
- CTC Range: ₹ 71,31,986 - ₹ 1,04,60,246
- Total Compensation (CTC): Final CTC will be shared during the offer stage and will include all compensation components in detail as per EoR vendor's structure.
- Final compensation within the range is influenced by factors including role-specific skills, depth and experience level, industry background, relevant education and certifications.
- INDENGLP
- This role is hired through an Employer of Record (EoR) partner in India.
- You will be legally employed in India through our EoR partner
- While your legal employer is the EoR partner, you will work full-time and be fully aligned to Credit Acceptance
- Your day-to-day work, responsibilities, and performance expectations will be consistent with our global team members
- Originally posted on Himalayas