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Regal Credit Management

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Senior Data Engineer / Data Platform

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Summary

A hands-on senior data engineer role to build and own the company's first internal AWS-based data platform: designing raw/staged/curated layers, ingestion pipelines, document-heavy OCR workflows, schema normalization, metadata/lineage standards, and datasets for dashboards and internal AI.

We are hiring a Senior Data Engineer / Data Platform Lead to build and own the first practical version of our internal data platform.

This is a hands-on builder role , not just reporting, governance, or pure ML.

You will design and implement:

  • Raw, staged, and curated data layers
  • Document-heavy workflows (OCR, parsing)
  • Data normalization and schema design
  • Metadata, lineage, and data structure standards
  • Datasets for dashboards and internal AI

Key Responsibilities

  • Design, build, and improve AWS-based data platform architecture
  • Develop ingestion workflows from multiple systems and data sources
  • Handle structured and unstructured data, including document processing
  • Normalize and transform data into usable schemas
  • Define metadata, naming conventions, and lineage tracking
  • Prepare datasets for dashboards, analytics, and internal AI use
  • Implement data quality checks and validation processes
  • Document data structures, pipelines, and workflows
  • Work closely with engineering leadership on integrations and priorities

Requirements

Minimum Qualifications

  • 5+ years of experience in data engineering or data platform roles
  • Strong hands-on experience with data pipelines and platform ownership
  • Strong AWS experience
  • Strong SQL and data modeling skills
  • Experience with structured and unstructured data
  • Experience with ingestion, normalization, and dataset preparation
  • Strong English communication skills (written and spoken)
  • Ability to work in a fast-paced, evolving environment

Preferred Qualifications

  • Experience with data lake or lakehouse architectures
  • Experience with OCR or document-heavy workflows
  • Experience preparing data for AI or retrieval-based systems
  • Experience in regulated industries (fintech, healthtech, etc.)
  • Experience building analytics-ready datasets
  • Experience mentoring junior team members

Bonus Skills

  • AWS Glue, Athena, or similar tools
  • Data lineage and metadata tooling
  • Exposure to credit or financial data

What We're Looking For

We want a senior builder-owner who can:

  • Work with messy, real-world data
  • Prioritize and sequence work effectively
  • Build practical solutions (not just design them)
  • Communicate clearly in a remote, async environment

Skills

What Senior Data Engineering jobs ask for — and how much of it you have →
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See also

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