Amazon EKS · Kubernetes · Terraform

EKS Deployment of a
Data Platform for Finance

Unified Data Infrastructure — Deployed, Secured, Maintained

We support our customers from the architecting phase all the way to a state-of-the-art matured deployment of their ingestion, data cataloguing, and data transformation workloads on Amazon EKS — with SSO, secret management, egress filtering, and compliance documentation built in from day one.

Explore the stack

What We Deploy

A single EKS cluster hosting the full data lifecycle, managed via Infrastructure-as-Code (Terraform) and continuously delivered through CI/CD pipelines.

Ingestion

Connect to SaaS, databases, APIs — 300+ connectors

Orchestration

Schedule and monitor DAGs, dbt runs, sync triggers

Transformation

SQL-first modelling across bronze / silver / gold layers

Data Catalogue

Lineage, discovery, governance, data quality

Visualization

Dashboards and self-service analytics

Automation

Low-code workflows, alerting, internal tooling

AI Gateway

Secure MCP access for AI agents to query the platform

All components are deployed as Helm charts on EKS. Nothing runs on bare EC2 — everything is in Kubernetes.

Infrastructure and Networking

Purpose-built AWS infrastructure, fully codified in Terraform.

EKS with managed node groups and Karpenter auto-scaling
Private subnets — workloads never exposed to the public internet
VPC Endpoints for AWS services (S3, ECR, Secrets Manager, STS, RDS) — traffic stays on the AWS backbone
NAT Gateway with egress restrictions via AWS Network Firewall — only whitelisted domains allowed outbound
Application Load Balancer (ALB) as the single ingress point, with WAF integration
Amazon RDS (PostgreSQL) for persistent state — automated backups, encryption at rest
Amazon ECR — private container registry, images scanned on push
Multi-environment support: dev and prod from the same Terraform codebase

Security Model

Zero-trust architecture. Every layer locked down.

Identity and Access

SSO via the customer's identity provider (Azure Entra ID, Okta, AWS IAM Identity Center, or any OIDC/SAML provider)
Per-user authentication across all platform services — no shared credentials
RBAC / FGAC — role-based and fine-grained access control mapped to IdP groups
Service accounts with scoped Kubernetes RBAC and IRSA

Secrets and Credentials

All secrets stored in AWS Secrets Manager
Synced into Kubernetes via External Secrets Operator — no secrets in Git, no secrets in env vars
Automated rotation support for database credentials, API keys, and certificates

Network Security

AWS Network Firewall controlling all egress traffic with domain-level allowlisting
No public IPs on any workload
Security Groups scoped per service (RDS, EKS nodes, ALB)
Private EKS control plane — API server not reachable from the internet
GitHub Actions runners on EKS (ARC) — CI/CD runs inside the VPC

Compliance Support

Detailed architecture diagrams and data flow documentation
Network topology and firewall rule exports
IAM policy inventory
Ready-made evidence packs for SOC 2, ISO 27001, and DORA auditors

Delivery Model

Architecture to production — structured, predictable, transparent.

Phase 1

Architecture and Design

1–2 weeks

Requirements gathering: data sources, consumers, identity provider, compliance constraints. Target architecture document, Terraform module structure, CI/CD pipeline design, cost estimation.

Phase 2

Build and Deploy

4–6 weeks

VPC, EKS, RDS provisioned via Terraform. Helm charts deployed. SSO integration, secrets wiring, Network Firewall rules, VPC Endpoints, CI/CD pipelines with self-hosted runners on EKS.

Phase 3

Onboarding and Hardening

1–2 weeks

Data source connections configured. Initial dbt models and Airflow DAGs. User onboarding, access provisioning, security review, and compliance documentation handover.

Phase 4

Managed Operations

Ongoing

Monitoring and incident response (SLA-backed). Secret rotation, resource cleanup, backup validation, component upgrades, and monthly operations reports.

Why This Approach

Single platform, single cluster

No sprawl of standalone services across EC2 instances

Reproducible

Terraform and Helm mean every environment is identical and auditable

Secure by default

Private networking, no shared credentials, egress filtering, encrypted secrets

Open-source core

No vendor lock-in on the data tooling layer; swap any component without re-architecting

Cost-efficient

Karpenter right-sizes compute; VPC Endpoints eliminate NAT data transfer costs; one RDS instance backs multiple services

Sectors

This offering was designed with financial services in mind — where regulatory scrutiny on data handling, access control, and auditability is highest — but applies equally to any organization that needs a secure, governed data platform on AWS.

Financial Services Insurance Private Equity and Asset Management Healthcare Regulated SaaS

EKS Deployment of aData Platform for Finance