Engineering Manager

mPokket Financial Services Private Limited; Bengaluru; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

mPokket Financial Services Private Limited in Bengaluru seeks an Engineering Manager – Data Platform to lead the core data infrastructure and reporting foundation used across lending, risk, and finance.

The role combines strong engineering leadership with deep technical expertise in big data platforms, data quality, and secure data operations within a regulated fintech environment.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or MCA.
• 8+ years of engineering experience with at least 3+ years in leadership.
• Strong experience with large-scale data platforms, distributed systems, and cloud-native engineering.

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.
• 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.

Skills

Big data platforms

Distributed systems

Spark / EMR / Databricks

SQL / Python / Java / Scala

Data modeling

BI / Reporting

Regulated environment

Education

Bachelor's degree in CS/Engineering/IS or MCA

Tools

Spark on EMR

Databricks

Snowflake

Oozie

Kafka

Airflow

Hadoop ecosystem

S3/ cloud storage

Job description

Position: Engineering Manager – Data Platform

The company is looking for an experienced EngineeringManager to lead the Data Platform team for a fast-growing digital lendingfintech. This team builds the core data infrastructure and reporting foundationused across lending, risk, collections, finance, operations, and leadershipdecision-making.

This role is ideal for a leader who can combine strongengineering management with deeptechnical understanding of big data platforms, reporting systems, andsecure data operations in a regulated environment. The role will partnerclosely with product, business, risk, and compliance stakeholders to buildreliable, scalable, and trusted data capabilities that support rapid growth.

Responsibilities

• Leadand grow a team building the company’s core data platform and reportingsystems.
• Defineand execute the platform roadmap for data ingestion, transformation,storage, access, and reporting.
• Build resilient batch andreal-time pipelines for lending, repayment, portfolio, and customeranalytics use cases.
• Ensurestrong controls for data quality, lineage, privacy, security, and platformreliability.
• Partnerwith risk, finance, operations, product, and analytics teams to delivertrusted business data products.
• Improveobservability , CI/CD, engineering practices, and on-call readiness across the platform.
• Scalethe team through hiring, mentoring, and strong performance management.

Requirements

• Bachelor'sdegree in Computer Science, Engineering, Information Systems, or MCA
• 8+ years of engineeringexperience with at least 3+ years in engineering leadership.
• Strongexperience with large-scale data platforms, distributed systems, andcloud-native engineering.
• Strongexperience with Spark on EMR , Databricks , Snowflake, Oozie workflows, Athena ad-hocquerying, Kafka ,Airflow orchestration, Hadoop ecosystem, S3/ cloud storage, lakehouse/warehouse platforms**
• Expertisein SQL, Python or Java or Scala, data modelling, ETL or ELT , and BI or reportingsystems.
• Experiencein fintech, lending,payments, banking , or similarly regulated domains is stronglypreferred.
• Strongability to work across technical and business teams in a fast-paced growthenvironment.

Good to have skills

• Loanfunnel reporting, disbursal and repayment analytics, delinquency andcollections metrics.
• Fraudand risk data products for underwriting and monitoring.
• Financeand compliance reporting with auditable, well-governed datasets.