Position: MoBo Data & Platform Architect
Duration: Long Term
Role Purpose:
Engineer the end-to-end data (including model and entity details) and technical integration architecture for middle and back-office (MoBo) platforms (Trading, Accounting, Investment Analytics, Portfolio Management) and all downstream consumers. Accelerate data foundations and migration readiness while ensuring solutions are secure, scalable, observable, and capable of phased delivery and dual running. Partner with Product, Engineering, Architecture, and SMEs to reduce ambiguity, improve data quality, and enable a smooth transition from legacy platforms.
Key Responsibilities
Architecture Ownership & Governance
- Define target and transitional architectures (context, container, data-flow) with clear North Star and phased states (0 → 1A/1B → 2A/2B).
- Maintain Architecture Decision Records; enforce modular, interoperable, observable designs with minimal technical debt.
- Drive cross-stream dependencies and maintain architecture/integration RAID.
Data Architecture & Domain Design
- Define data domains, ownership boundaries, and consistent shared data representations across systems.
- Produce and govern conceptual and logical models for priority domains (clients, accounts, portfolios, transactions).
- Review physical schemas for domain alignment and cross-system consistency.
- Own ID and keying strategies.
Integration & API Strategy
- Establish event, API, and batch integration patterns and standards.
- Define gateway/API standards, versioning, and change-isolation.
- Own interface specifications and data-mapping contracts.
Migration & Dual Run
- Lead data profiling, source-to-target mapping, transformation logic, validation, and reconciliation.
- Define phased migration states, dual-run controls, acceptance thresholds, and cutover/rollback plans.
- Support go-live readiness and stabilization.
Security, Operability & Compliance
- Embed security by design (SSO, RBAC/RLS, audit logging, DLP, BYOK).
- Define monitoring, logging, metrics, and operational readiness.
- Ensure environments and release pipelines meet program standards.
Engineering Enablement & Delivery Quality
- Approve HLD/LLD for domain modules (Security Master, Transaction Master, Pricing, Recs, Product DB, Reporting, integrations).
- Govern test-data strategy, environment usage, and readiness gates.
- Embed data quality thresholds and validation checks into sprint delivery.
- Enable teams through workshops, architecture reviews, and decision facilitation.
Platform Evaluation & Performance
- Evaluate modern data platforms (e.g., Fabric, Databricks, Snowflake) for enterprise fit.
- Design resilient, low-latency multi-cloud pipelines (e.g., AWS and Fabric/Azure).
- Nice to have: Advanced high-performance database design and tuning (indexing, columnar/in-memory).
Core Deliverables (Within 3 Months)
Target State Data & Technical Architecture
- Principles, North Star views, phased architectures
- Domain maps, key entities, shared data representations
- Integration patterns and ID/keying strategy
Priority Domain Models
- Conceptual and logical models for core MoBo domains
- Guidance for downstream physical implementations
Migration & Dual-Run Framework (Within 6 Months)
- Mappings, transformation logic, validation and reconciliation
- Dual-run controls, go-live gating, cutover and rollback plans
Integration & Reporting Architecture (Within 6 Months)
- Interface specifications and mapping contracts
- Reporting pipelines, architecture, and release policy
Architecture Governance (Within 6 Months)
- ADRs and architecture review outcomes
- Continuous design assurance across streams
Quality & Operability Framework (Within 9 Months)
- Embedded data quality checks and thresholds
- Monitoring standards, operational readiness, stabilization model
Ideal Profile
- 7–10+ years in data architecture or engineering with complex migrations, domain-driven design, and legacy modernization.
- Strong in conceptual/logical modeling, ETL/ELT, and integration architectures.
- Hands-on experience evaluating modern data platforms and building multi-cloud data pipelines.
- Financial or investment systems experience.
- Clear, decisive communicator in fast-moving, multi-stream programs.
