Supercharge
Your Career as a Senior Data Engineering Manager at Technoidentity!
Are you ready
to solve people challenges that fuel business growth? At Technoidentity, we’re
a Data+AI product engineering company building cutting-edge solutions in the
FinTech domain for over 15 years—and we’re expanding globally. It’s the perfect
time to join our team of tech innovators and leave your mark!
What’s in
it for You?
The Core
Datasets team within our Data
Engineering organization is at the heart of how our company manages and scales
its finance and non-finance data infrastructure. Our data engineers build and
maintain the pipelines that power critical business decisions across the
company. This includes finance and non finance business use cases and data
pipelines that power their P0 needs (like how is the company adopting AI across
Engg and Non Engg functions). You'll be joining a collaborative, cross-functional
team that partners closely with finance stakeholders, analytics teams, and data
owners across the organization.
The
Difference You Will Make As a Senior DE Platform Manager, you will sit at the
intersection of product management and technical leadership — guiding a pod of
data engineers to deliver high-quality, reliable pipelines across finance and
non-finance data domains. You will own the roadmap, ensure engineering
excellence, and be the primary accountability point for pod delivery and
output, driving measurable impact on data quality and pipeline reliability at
scale. At the same time, we want the candidate to bring in fresh ideas on how
to leverage and implement AI agents at scale to solve complex data quality
challenges around detective monitoring, data integrity, completeness, accuracy
OR on how to accelerate current Core Datasets pipeline maintenance/ enhancements
through AI agents
What Will
You Be Doing?
- Lead and manage a pod of data
engineers working on Core Datasets pipelines, providing technical and
logical guidance on pipeline design, data modeling, and architecture
decisions
- Own and maintain a healthy,
prioritized Jira backlog; manage sprint planning, dependency tracking, and
delivery milestones to ensure engineers always have clear, unblocked
work
- Partner closely with finance and
non finance stakeholders to gather, document, and prioritize data
requirements; collaborate with non-finance teams to deliver analytics and
data pipelines as needed
- Review and validate pipeline
logic, data quality rules, and transformation specs authored by the
engineering team
- Ensure pipelines are designed to
scale and align with the company's evolving data infrastructure,
including the migration to Data Morph
- Quickly triage and mobilize the
right team members when pipeline failures occur
- Balance roadmap items across
finance-related and non-finance data pipelines to ensure continuous,
well-sequenced delivery
- In parallel, work with DE on AI
Ideation, experimentation, POCs maturing them to production ready
deliverables.