🚀 We’re Hiring: Data Architect (Enterprise Banking Data Ecosystem Builder) 🚀

If you think data is just “tables and pipelines,” this probably isn’t your role.
If you see data as the nervous system of a modern bank flowing from core systems to real-time analytics, regulatory reporting, and AI-driven insights then keep reading.

We’re looking for a Data Architect to design, govern, and evolve a full-scale enterprise data ecosystem that powers everything from payments to customer intelligence. You’ll be the blueprint owner of how data is structured, secured, integrated, and consumed across the organization.

This is a role for someone who enjoys turning complexity into clarity and making sure thousands of downstream decisions are built on rock-solid data foundations.

🧠 What You’ll Be Doing

You’ll be the architect behind a modern, cloud-first data platform built on Azure and Databricks, shaping how data moves, lives, and delivers value across the bank.

Your day-to-day impact will include:

• Designing and evolving enterprise data models across critical banking domains
• Architecting and governing the cloud data lake ecosystemusing:
  • Azure Data Lake Storage
  • Azure Data Factory
  • Azure Synapse Analytics
  • Azure DevOps
• Building and enforcing enterprise-wide data governance frameworks (lineage, dictionaries, MDM, quality standards)
• Partnering with BI Analysts and application teams to ensure data is usable, trusted, and analytics-ready
• Designing scalable, reliable data integration pipelines between core banking systems, the data lake, and downstream applications
• Defining security standards including RBAC, encryption, masking, and auditing
• Translating business strategy into a forward-looking data architecture roadmap
• Continuously evaluating and improving the bank’s data ecosystem for performance, cost, and innovation

🏗️ What You Bring to the Table

We’re looking for someone who has already spent serious time in the data trenches:

• Bachelor’s in Computer Science, Information Systems, Data Science, Engineering (Master’s preferred)
• 7+ years in data roles (engineering, DBA, modeling, etc.)
• 3+ years specifically in data architecture
• Experience in banking or regulated environments is a strong plus

Technical Strengths You Should Have:

• Deep hands-on experience with Databricks, including:
  • Delta Lake architecture
  • Notebooks & workflows
  • Unity Catalog governance
• Strong command of Microsoft Azure data stack:
  • ADLS, ADF, Synapse, DevOps
• Solid grounding in:
  • Data governance (metadata, lineage, MDM, data quality)
  • Secure data architecture (encryption, RBAC, compliance)
  • CI/CD and infrastructure-as-code principles
• Comfortable navigating complex systems where precision, scale, and regulation all collide

🧩 The Mindset We’re After

• You think in systems, not just schemas
• You can translate business goals into data architecture decisions
• You enjoy untangling messy data ecosystems and replacing them with clean, scalable designs
• You’re equally comfortable talking to engineers, analysts, auditors, and executives
• You don’t just build data platforms you design data trust

🏢 Work Environment

• Professional office setting with a moderate noise level
• Collaborative, cross-functional teams
• Reliable attendance and steady execution matter heredata ecosystems don’t build themselves

🎯 Why This Role Matters

This isn’t just another architecture job.

You’ll be shaping how an entire financial institution understands its own data from customer insights to regulatory reporting to AI-driven decisioning.