Backbridge Solution Lead / Architect

Project: Enterprise Backbridge Data Solution on AWS

Role Overview:

Client is seeking a seasoned Backbridge Solution Lead / Architect to drive the design and delivery of a critical data integration and processing platform leveraging AWS native services. This solution will serve as a strategic data bridge across key enterprise domains (such as transactions, positions, and commissions) supporting Client 's broader data modernization and platform consolidation goals.

The ideal candidate will bring deep experience in AWS-based data lake and streaming architectures, with the ability to operate across business and technical stakeholders to ensure scalable, secure, and compliant data solutions that integrate seamlessly with Clients enterprise data ecosystem.

Key Responsibilities:

Lead the architecture and delivery of the Backbridge solution, serving as a near-real- time data integration layer across client systems
Collaborate with enterprise data architects, domain leads, and product owners to align on business rules, governance, and platform integration
Design and build data pipelines leveraging AWS Glue, Lambda, MSK (Kafka), and Step Functions for both batch and streaming scenarios
Develop API-based integration services using API Gateway and Lambda to connect with upstream and downstream systems
Ensure role-based access control, data encryption, auditing, and compliance using IAM, Secrets Manager, and Lake Formation
Oversee orchestration of workflows using Glue Workflows and Step Functions
Support CI/CD automation using Terraform and GitHub Actions
Promote best practices in performance optimization, error handling, and
observability using CloudWatch and CloudTrail
Act as a key advisor in technical decision-making for future-state data architecture

Required Skills & Experience:
Cloud & AWS Technologies:
Proficiency in AWS services: S3, Glue, Lambda, Step Functions, CloudWatch, CloudTrail, IAM, Lake Formation, API Gateway, Secrets Manager, Parameter Store
Experience working with Amazon MSK (Kafka) for streaming ingestion and distribution
Familiarity with Athena, Redshift Spectrum, QuickSight for reporting use cases Data Lake & Processing Frameworks:
Deep knowledge of Amazon S3, Apache Iceberg, AWS Glue Data Catalog, and Lake Formation for data governance
Prior experience with Snowflake or Databricks as part of Client s cloud-native data strategy
Strong ETL development using Python, PySpark, and Glue Jobs Orchestration & Integration:
Experience in orchestrating batch/streaming jobs with Glue Workflows and Step Functions
Expertise in building and managing RESTful APIs and secured endpoints via API Gateway

DevOps & CI/CD:
Hands-on experience with Terraform, GitHub Actions, and version-controlled infrastructure
Exposure to Client s delivery framework or familiarity with secure SDLC and regulatory-compliant DevOps practices

BI and Analytics:
Understanding of Athena and QuickSight to support ad-hoc queries and reporting capabilities for operational teams

Preferred Qualifications:
Experience working in the financial services industry or a highly regulated environment
Exposure to Broker Dealer and WM data domains (e.g., Book of Records, positions, transactions, accounts, commissions, etc)
AWS Certifications (Solutions Architect, Data Analytics Specialty)
Strong communication and leadership skills to work across business and technical