Engineering Manager

Position: Engineering Manager – Data Platform The company is looking for an experienced Engineering Manager to lead the Data Platform team for a fast-growing digital lending fintech. This team builds the core data infrastructure and reporting foundation used across lending, risk, collections, finance, operations, and leadership decision-making. This role is ideal for a leader who can combine strong engineering management with deep technical understanding of big data platforms, reporting systems, and secure data operations in a regulated environment. The role will partner closely with product, business, risk, and compliance stakeholders to build reliable, scalable, and trusted data capabilities that support rapid growth. Responsibilities Lead and grow a team building the company’s core data platform and reporting systems. Define and execute the platform roadmap for data ingestion, transformation, storage, access, and reporting. Build resilient batch and real-time pipelines for lending, repayment, portfolio, and customer analytics use cases. Ensure strong controls for data quality, lineage, privacy, security, and platform reliability. Partner with risk, finance, operations, product, and analytics teams to deliver trusted business data products. Improve observability , CI/CD, engineering practices, and on-call readiness across the platform. Scale the team through hiring, mentoring, and strong performance management. Requirements Bachelor's degree in Computer Science, Engineering, Information Systems, or MCA 8+ years of engineering experience with at least 3+ years in engineering leadership. Strong experience with large-scale data platforms, distributed systems, and cloud-native engineering. Strong experience with Spark on EMR , Databricks , Snowflake, Oozie workflows, Athena ad-hoc querying, Kafka , Airflow orchestration, Hadoop ecosystem, S3/ cloud storage, lakehouse/warehouse platforms** Expertise in SQL, Python or Java or Scala, data modelling, ETL or ELT , and BI or reporting systems. Experience in fintech, lending, payments, banking , or similarly regulated domains is strongly preferred. Strong ability to work across technical and business teams in a fast-paced growth environment. Good to have skills Loan funnel reporting, disbursal and repayment analytics, delinquency and collections metrics. Fraud and risk data products for underwriting and monitoring. Finance and compliance reporting with auditable, well-governed datasets.