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:
Data ingestion pipelines
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
Document extraction / parsing systems
Data quality monitoring
Exposure to credit or financial data
What Were 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
Benefits
Work-from-home
Required Skills:
Qualifications (Must-Have) - 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
Required Education:
Bachelors Degree
This is a remote position.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: Data ingestion pipelines Raw stag...
This is a remote position.
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:
Data ingestion pipelines
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
Document extraction / parsing systems
Data quality monitoring
Exposure to credit or financial data
What Were 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
Benefits
Work-from-home
Required Skills:
Qualifications (Must-Have) - 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