Director Data Engineer

Department Icon Data Science Analytics & Machine Learning
149+ Applicants
Posted: 2 weeks ago
8-10 years
Bengaluru / Bangalore, Karnataka
work from office

Posted: 2 weeks ago
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Applicants: 149+
Job Description
About Company
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Job Description

About Angel One

Angel One is one of Indias fastest growing fintechs, on a bold mission to make investing simple, smart, and inclusive for every

Indian. With over 3+ crore clients, were building at scale – and building for impact.

Our Super App helps clients manage their investments, trade seamlessly, and access financial tools tailored to their goals. We are working to build personalized financial journeys for our clients, powered by new-age tech, AI, Machine Learning and Data Science.

Were a builders company at heart. Youll have the space to experiment, the freedom to move with velocity, and the mandate to make bold, user-first decisions – every single day.

The vibe Think less hierarchy, more momentum. Everyone has a seat at the table and a shot to build something that lasts.

Be part of a team thats scaling sustainably, thinking big, and building for the next billion.

Why Youll Love Working at Angel One!

• Tech Systems that run at Scale: From AI to real-time data infra, youll work on tech thats ahead of the curve and solve problems that truly matter.

• Build one of Indias Leading Fintech Platform: Were not just disrupting finance – were shaping how billion Indians access wealth.

• Own It. Drive It. Scale It: Youll have the freedom to lead, the resources to build, and the opportunity to leave your mark.

• Empowered Growth: We invest in your growth and empower you to explore your full potential.

• Exceptional Benefits: Our comprehensive benefits package includes health insurance, wellness programs, learning & development opportunities, and more.

Job Title: Director of Data Engineer

Location: Bengaluru, Karnataka

What you will do:

  • Unified Data Strategy: Architect and implement a modern, unified data platform (e.g., Lakehouse architecture) capable of handling massive volumes of transactional, streaming, and analytical data.
  • Semantic & Governance Layer: Design and champion a headless semantic API and unified catalog system (e.g., Unity Catalog) to enable self-serve analytics while maintaining strict data consistency across the enterprise.
  • High-Availability Pipelines: Build resilient, low-latency data ingestion and processing frameworks utilizing cutting-edge streaming and batch technologies.
  • Cost & Performance Optimization: Establish benchmarks, monitoring, and architectural standards to continuously optimize data processing costs and storage efficiency at scale.
  • AI-Driven Data Operations: Integrate AI into the data engineering lifecycle to automate metadata tagging, anomaly detection, root-cause analysis, and self-healing data pipeline orchestration.
  • Data Privacy for AI: Implement governance frameworks specifically for AI, ensuring that data feeding LLMs and ML models strictly adheres to strict financial privacy boundaries, compliance, and synthetic data generation rules.
  • Influence & Strategy: Author technical RFCs, whitepapers, and architectural blueprints. Guide organizational decision-making and align infrastructure with corporate OKRs.
  • Mentorship: Act as a force multiplier by mentoring senior and lead engineers, fostering a culture of technical excellence and continuous innovation.
  • Cross-Functional Alignment: Partner closely with Product, DevOps, Risk, Data Science, and Core Infrastructure teams to ensure the data platform seamlessly unblocks downstream capabilities.

Who you are:

  • 8 -10+ years of experience in data engineering, with at least 5 years in a leadership role managing technical teams.
  • Experience building and optimizing big data data pipelines, architectures, and data sets
  • Experience with big data tools: Spark, Flink, Kafka, Airflow, etc
  • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
  • SQL, Python, Spark, Kafka, Big Data / Cloud DWH
  • Work closely with Principal Engineers to design, implement and deploy applications that impact Angel Ones business with an emphasis on Trading platforms and Analytics.
  • Further, design, organize PB scale Data Warehouse, analyze TB scale real-time data daily.

Diversity, Equity and Inclusion at Angel One

At Angel One, our culture is rooted in Diversity, Equity, and Inclusion. As an equal opportunity employer, we welcome people from all backgrounds, irrespective of caste, religion, gender, marital status, sexuality, disability, class, or age. We believe everyones unique experiences and viewpoints make us stronger together. Come and be part of #OneSpace, where your individuality is celebrated and embraced.

Skills

Big DataPythonData PrivacyData ScienceData ProcessingMachine LearningRoot Cause AnalysisData EngineerAnalyticsAiMlSql

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About Company

Angel One Limited (formerly known as Angel Broking Limited) is the largest listed retail stock broker in India, in terms of number of clients and is a member of the Bombay Stock Exchange (BSE), National Stock Exchange (NSE), Metropolitan Stock Exchange of India (MSEI), and the two leading Commodity Exchanges in India – Multi Commodity Exchange (MCX) and National Commodity & Derivatives Exchange (NCDEX).

Important dates & deadlines?

Application Deadline

05 Oct 26, 04:38 PM IST

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