Databricks Data Architect (Wealth Management Data Platform)

Itransition; Polska; Hybrid; PLN 240,000 - 360,000; Full time

Benefits offered by this job

Flexible working hours

Options to work remotely

Corporate medical insurance

English courses online

Internal conferences and workshops

Job summary

Itransition is seeking a Databricks Data Architect to lead the Wealth Management Data Platform design and delivery. The role focuses on platform architecture, data Vault patterns, governance, and scalable, auditable data flows across CRM, portfolio, trading, and reporting systems.

You will define target-state architecture, integration patterns, and canonical models for clients, accounts, portfolios, and regulatory data, guiding engineering teams in evolving the data platform.

Qualifications

• Strong experience designing Databricks Lakehouse architectures for enterprise data platforms.
• Proven track record in financial services or Wealth Management contexts.
• Deep understanding of Data Vault 2.0, data governance, and security models.

Responsibilities

• Own the target-state architecture for a Databricks-based data platform.
• Define platform architecture, data flows, integration patterns, and guardrails.
• Design scalable ingestion, transformation, and orchestration using Spark, SQL, Delta Lake.
• Lead Data Vault architecture including hubs, links, satellites, historization.
• Define canonical data models for Wealth Management entities and related data layers.

Skills

Databricks Lakehouse architecture

Spark

SQL

Delta Lake

Unity Catalog

workflow orchestration

Tools

Lakeflow Connect

Lakeflow Spark Declarative Pipelines

Lakeflow Jobs

dbt

AWS

Azure

GCP

Job description

# Databricks Data Architect (Wealth Management Data Platform)* Home* Vacancies* Databricks Data Architect (Wealth Management Data Platform)## DescriptionOur client is designing and delivering a modern enterprise data platform for the Wealth Management domain. The platform will consolidate data from multiple CRM, portfolio management, trading, reporting, risk, and compliance systems into a governed, trusted, and scalable source of truth.The platform will support analytical, operational , regulatory, and client-facing use cases.This is a architecture role with a primary focus on platform architecture, integration design, Data Vault architecture, governance, and delivery guidance. The person will define the target-state architecture, integration patterns, data modeling approach, and implementation standards, working closely with engineering teams responsible for delivery.A key focus will be the architecture and design of a Data Vault-based platform on Databricks, enabling scalable ingestion, historization, auditability, lineage, and downstream consumption.office remoteEuropean UnionPoland### Requirements* Strong experience designing Databricks Lakehouse architectures, including Spark, SQL, Delta Lake, Unity Catalog, and workflow orchestration concepts* Proven experience architecting enterprise data platforms, preferably in financial services or Wealth Management environments* Strong practical understanding of Data Vault 2.0 architecture* Experience defining integration architecture for enterprise data landscapes with multiple source systems and consumption channels* Experience designing governance and security models (Unity Catalog, RBAC/ABAC, row/column-level security, PII protection, and compliance)### Nice to have* Experience in Wealth Management, Private Banking, Asset Management, Investment Management, Capital Markets, or broader financial services* Experience with Databricks Lakeflow Connect, Lakeflow Spark Declarative Pipelines, and Lakeflow Jobs* Experience designing platforms that support regulatory, audit, compliance, risk, and financial reporting requirements* Experience with MDM concepts* Experience with cloud infrastructure on AWS, Azure, or GCP* Experience with AI/RAG, semantic search, Vector Search, embeddings, metadata filtering, source-grounded generation, or LLM-based data enrichment is a plus, but not a core requirement* dbt experience### Responsibilities* Own the target-state architecture for a Databricks-based data platform* Define platform architecture, integration patterns, data flows, architectural principles, and delivery guardrails for the engineering teams* Design scalable data ingestion, transformation, orchestration, and publication patterns using Databricks, Spark, SQL, Delta Lake, Unity Catalog, and Lakeflow where appropriate* Lead the Data Vault architecture, including raw vault, business vault, hubs, links, satellites, historization patterns, PIT tables, bridge tables, and downstream consumption layers* Define canonical data models for core Wealth Management entities such as clients, households, advisors, accounts, portfolios, holdings, transactions, products, instruments, mandates, risk profiles, fees, suitability, and regulatory classifications* Design integration patterns across heterogeneous source systems, including CRM, portfolio management platforms, trading systems, custodians, market data providers, risk systems, reporting platforms, and compliance tools### We offer* Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota* Competitive compensation that depends on your qualification and skills* Career development system with clear skill qualifications* Flexible working hours aligned to your schedule* Options to work remotely* Corporate medical insurance covering services of private and public medical centers* English courses online* Corporate parties and events for employees and their children* Internal conferences, workshops and meetups for learning and experience sharing* Gym membership compensation* 5 days of paid sick leave per year with no obligation to submit a sick-leave certificate### Any questions?[e-mail]## Apply for#### Databricks Data Architect (Wealth Management Data Platform)Apply by filling in the form beside or sending your CV to [e-mail] clicking the button Agree & send I give my consent to Itransition Group to process my personal data in accordance with Recruitment Privacy Statement for the purpose of potential employment, internship and future career opportunities.