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Data Engineering Manager

Wells FargoBengaluru, Karnataka, IndiaPosted 18 May 2026

Wells Fargo is seeking a Data Engineering Manager for its Finance Data Landing Zone team in Bengaluru. The role involves leading, coaching, and developing a team of engineers while driving the design and delivery of scalable metadata-driven data frameworks. You will engage with architects to support cloud readiness, application modernization, and data strategy for corporate treasury. The position requires strong expertise in big data technologies, financial risk domain knowledge, and proactive stakeholder collaboration.

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Experience

4+ years

Function

Engineering

Work mode

Onsite, India

Company

Tier 2

What you will work on

Wells Fargo is seeking a Data Engineering Manager for its Finance Data Landing Zone team in Bengaluru. The role involves leading, coaching, and developing a team of engineers while driving the design and delivery of scalable metadata-driven data frameworks. You will engage with architects to support cloud readiness, application modernization, and data strategy for corporate treasury. The position requires strong expertise in big data technologies, financial risk domain knowledge, and proactive stakeholder collaboration.

TAL's take

Quality 65/1004/5 clarityTier 2 company

Stable, large-scale financial engineering role at a tier-2 banking organization, though scope is limited by corporate environment.

Clear expectations for people management and technical oversight of data pipelines within the financial risk domain.

Salaries at Wells Fargo

24.8 LPA average

Based on 856 Grapevine salary entries for Wells Fargo.

View all salaries

Engineering

0 - 2 years | S1

17 LPA average

Range: 14 - 25 LPA

Engineering

2 - 4 years | AVP

18 LPA average

Range: 6 - 35 LPA

Engineering

4 - 6 years | P2

16 LPA average

Range: 8 - 21 LPA

Engineering

6 - 8 years | P3

26 LPA average

Range: 22 - 30 LPA

Must haves

  • 4+ years of software engineering experience
  • 2+ years of leadership experience
  • Experience managing individual contributor engineers
  • Strong experience building big data pipelines
  • Proficiency in Python and SQL

Tools and skills

pythonsqlbashapache sparkhivehadoop

Nice to have: spark structured streaming, apache flink, parquet, orc, autosys, airflow, rest apis, dremio, docker, kubernetes, collibra, alation, purview.

About the company

Established global banking institution with significant technology operations.

Posts mentioning Wells Fargo