Data Migration Specialist handling large - scale data migration from legacy to enterprise PLM platform. Analyzing data structures, developing strategies, and ensuring integrity across systems.
About the role
- Senior Data Engineer with AWS expertise leading financial data architecture and scalable solutions. Collaborating in wealth management to enhance data quality and systems.
Responsibilities
- Design and build scalable data pipelines using Python (PySpark, Pandas, Airflow)
- Architect data lakes / warehouses (Snowflake, Redshift, or similar)
- Implement real-time and batch data processing frameworks
- Optimize data models for analytics, reporting, and ML use cases
- Work with datasets across:
- Portfolio & asset management
- Trade lifecycle & transaction data
- Client onboarding & KYC
- Performance reporting & attribution
- Build systems supporting investment analytics, risk, and regulatory reporting
- Lead a team of data engineers; provide technical guidance and code reviews
- Define data engineering best practices, governance, and standards
- Collaborate with Product, Analytics, and Business teams
- Drive data quality, lineage, and observability frameworks
- Develop solutions on AWS:
- S3, Glue, Lambda, EMR, Redshift
- Implement CI/CD pipelines and infrastructure-as-code (Terraform/CloudFormation)
- Ensure security and compliance (FINRA, SEC considerations)
Requirements
- 10+ years of experience in data engineering / data platform development
- 3+ years in a lead or architect role
- Strong programming expertise in Python
- Hands-on experience with:
- PySpark / Spark
- SQL & data modeling
- Workflow orchestration (Airflow, Prefect)
- Experience in wealth management / asset management / financial services
- Strong understanding of:
- Investment data models
- Market data & financial instruments
- Experience with cloud-native data platforms (AWS)
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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