Job Summary

We are looking for an experienced Engineering Manager to lead a high-performing Data Engineering team focused on building intelligent, highly automated platforms that process large volumes of financial data and documents. This role combines strong technical leadership with engineering management and execution excellence.

You will lead a team of 5-8 engineers while remaining hands-on in architecture, design, and critical implementation decisions. You will work closely with Product, Architecture, and Engineering leadership to transform complex business problems into scalable engineering solutions.

This role is ideal for someone who enjoys solving difficult engineering challenges, coaching engineers, driving execution, and continuously improving engineering practices.

What You'll Do

Technical Leadership

- Lead the architecture and development of scalable data engineering platforms.
- Design highly reliable document processing and metadata extraction pipelines.
- Drive automation-first engineering practices across the organization.
- Define technical direction and architectural standards for the team.
- Review system designs and code to ensure scalability, maintainability, and performance.
- Build cloud-native solutions using AWS services and containerized deployments.
- Optimize large-scale data processing pipelines for speed, cost, and reliability.
- Guide implementation of AI-assisted automation and modern data engineering techniques.

Engineering Management

- Lead a team of 5-8 engineers including Lead Software Engineers.
- Drive project planning, execution, estimation, prioritization, and delivery.
- Coach engineers and support their technical and professional growth.
- Build an ownership-driven engineering culture.
- Partner with Product Managers, Architects, and cross-functional stakeholders to deliver impactful solutions.




- Identify execution risks early and proactively drive mitigation plans.
- Continuously improve engineering processes, quality, and operational excellence.

What We're Looking For

Strong experience with:

- Python
- Pandas
- NumPy
- PyArrow
- FastAPI
- PostgreSQL
- DynamoDB
- Elasticsearch
- Docker and containerized deployments

Experience with:

- Document processing platforms
- Financial data engineering
- Metadata extraction
- Data lineage
- API-first architectures
- Workflow automation
- Distributed data processing
- Cloud-native application development on AWS.
- 8+ years of software engineering experience with strong expertise in data engineering.
- Prior experience leading engineering teams in a product organization.
- Robust architectural and system design skills.
- Experience building scalable backend systems and high-volume data processing platforms.
- Ability to balance technical depth with execution excellence.
- Excellent communication and stakeholder management skills.
- Comfortable working across multiple teams to drive technical alignment.

Non-Negotiable Expectations

We expect every successful candidate to demonstrate:

- Exceptional problem-solving ability
- Strong system design expertise
- Ownership mindset
- First-principles thinking
- Bias for automation
- Strong data modelling capabilities
- Performance optimization expertise
- Ability to simplify complex engineering problems
- Excellent communication skills

Qualifications

- Bachelors degree in Engineering, Computer Science, or equivalent.
- Experience working in product engineering organizations preferred.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Engineering Manager - Modern Data Pipeline (Hyderabad)
🏢 FACTSET
📍 Hyderabad