Cloud Solutions Architect Databricks & AWS (Banking/Capital Markets)

Cloud Solutions Architect Databricks & AWS (Banking/Capital Markets)

Posted 2 days ago by Donato Technologies Inc

Negotiable
Undetermined
Remote
Remote

Summary: The Cloud Solutions Architect role focuses on architecting secure and scalable cloud-native data platforms on AWS using Databricks, specifically tailored for banking and capital markets workloads. This position serves as a bridge between business and engineering, leading cloud migrations and ensuring compliance with regulatory standards. The architect is responsible for defining deployment patterns and maintaining data security and performance across large-scale financial systems.

Key Responsibilities:

  • Architect end-to-end AWS + Databricks data platforms for financial services use cases
  • Design and govern cloud-native and migration architectures (re-platform, re-architect, hybrid)
  • Lead secure, compliant, and scalable data lake/lakehouse implementations
  • Define and standardize deployment and migration patterns
  • Guide teams on best practices for data engineering, CI/CD, and IaC
  • Collaborate with business, risk, security, and engineering stakeholders
  • Ensure platforms align with financial regulations and audit requirements
  • Produce clear architectural documentation for global reuse and support

Key Skills:

  • AWS architecture design (VPC, IAM, KMS, networking, security controls)
  • Cloud migration strategies and patterns
  • Cloud-native application and data architectures
  • Databricks platform (clusters, jobs, workflows, notebooks)
  • Delta Lake, ETL/ELT pipelines, batch & real-time processing
  • Data lake / lakehouse design patterns
  • Performance optimization and cost management
  • CI/CD pipelines for data platforms
  • Infrastructure as Code (Terraform / CloudFormation)
  • Automated provisioning, deployments, and environment management
  • Banking / Investment / Capital Markets data use cases
  • Exposure to regulatory, governance, lineage, audit, and security controls
  • Mission-critical, low-latency, high-availability systems
  • Databricks Certification (Associate or Professional)
  • AWS Solutions Architect or Data certifications
  • MLflow, advanced Databricks features
  • Multi-cloud exposure (Azure / Google Cloud Platform)
  • Strong understanding of financial data compliance and governance

Salary (Rate): undetermined

City: undetermined

Country: undetermined

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Cloud Solutions Architect Databricks & AWS (Banking/Capital Markets)
100% Remote

This role focuses on architecting secure, scalable, cloud-native data platforms on AWS using Databricks, specifically for banking, investment, and capital markets workloads. The architect acts as a bridge between business and engineering, leading cloud migrations, defining deployment patterns, and ensuring regulatory compliance, data security, and performance across large-scale financial systems.

Core Responsibilities (Condensed & Impact-Oriented)

  • Architect end-to-end AWS + Databricks data platforms for financial services use cases
  • Design and govern cloud-native and migration architectures (re-platform, re-architect, hybrid)
  • Lead secure, compliant, and scalable data lake/lakehouse implementations
  • Define and standardize deployment and migration patterns
  • Guide teams on best practices for data engineering, CI/CD, and IaC
  • Collaborate with business, risk, security, and engineering stakeholders
  • Ensure platforms align with financial regulations and audit requirements
  • Produce clear architectural documentation for global reuse and support

Mandatory Technical Skill Areas (Mapped Clearly)

Cloud & Architecture

  • AWS architecture design (VPC, IAM, KMS, networking, security controls)
  • Cloud migration strategies and patterns
  • Cloud-native application and data architectures

Databricks & Data Engineering

  • Databricks platform (clusters, jobs, workflows, notebooks)
  • Delta Lake, ETL/ELT pipelines, batch & real-time processing
  • Data lake / lakehouse design patterns
  • Performance optimization and cost management

DevOps & Automation

  • CI/CD pipelines for data platforms
  • Infrastructure as Code (Terraform / CloudFormation)
  • Automated provisioning, deployments, and environment management

Financial Services Domain

  • Banking / Investment / Capital Markets data use cases
  • Exposure to regulatory, governance, lineage, audit, and security controls
  • Mission-critical, low-latency, high-availability systems

Good-to-Have Differentiators

  • Databricks Certification (Associate or Professional)
  • AWS Solutions Architect or Data certifications
  • MLflow, advanced Databricks features
  • Multi-cloud exposure (Azure / Google Cloud Platform)
  • Strong understanding of financial data compliance and governance