Job Title: Data Architect Location: Incedo Inc. is a high-growth Digital, Data and AI Transformation Specialist firm headquartered in New Jersey. We are a long-term strategy execution partner for Fortune 500 enterprises, operating at the intersection of business and technology across Banking & Payments, Wealth Management, Telecom, Hi-Tech, and Life Sciences.
We are building Incedo 4.0 - an AI-native, execution-focused, founder-led organization designed for scale, speed, and long-term impact.
Incedo delivers ROI from AI @ Scale through the “Power of 3”:
• AI & Data capabilities
• Engineering & Operations excellence
We are seeking a Data Architect to define and govern the end-to-end architecture of enterprise data products and platforms. This role is accountable for designing scalable, reusable, and compliant data architectures that translate core banking domains into high-quality data products and solutions. You will partner closely with Data Managers, Platform teams, and Engineering leads to ensure alignment with enterprise standards, regulatory requirements, and long-term modernization goals.
Data & Domain Architecture
Define end-to-end architecture for data solutions from source systems through analytics and downstream consumption.
Design and govern logical, physical, and semantic data models (facts, dimensions, metrics, hierarchies).
Apply domain-driven and data-solutions design principles to ensure consistency and reusability.
Establish and govern data contracts and domain interfaces.
Platform & Streaming Architecture
Define architectural patterns across Hadoop, lakehouse, and streaming platforms.
Ensure alignment across on-prem and cloud-based platforms in a hybrid enterprise environment.
Application & Integration Architecture
Review and guide ingestion and data service designs built on Java/Spring Boot and Python.
Architect Kafka-based pipelines for decoupled, event-driven data products.
Define enterprise semantic models supporting BI and analytics tools (Power BI, Fabric, Tableau).
Enable one-to-many consumption where a single data product supports multiple use cases.
Governance, Quality & Compliance
Embed data quality, lineage, metadata, and observability into architectural designs.
Partner with centralized governance, security, and risk teams to meet regulatory requirements.
Define data product ownership, stewardship, and lifecycle standards.
Act as the architectural authority for data products within the organization.
Review and approve solution designs and reference implementations.
12+ years of experience in data architecture, data engineering, or analytics architecture.
~ Proven experience designing enterprise-scale data products and platforms.
~ Strong expertise in data modeling, lakehouse architectures, and streaming systems.
~ Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred).
Data Platforms: Exposure to at least one of the public cloud out of Azure, AWS, or GCP in regulated enterprise environments.
Programming: Java, Spring Boot (design/review), Python
Observability: Data observability and operational monitoring (ELK preferred)
Governance & Security: Data governance, lineage, quality, and compliance
Banking or financial services experience (deposits, loans, transactions).
Familiarity with data mesh or domain-oriented operating models.
Experience supporting BI modernization initiatives.
We are building Incedo 4.0 - an AI-native, execution-focused, founder-led organization designed for scale, speed, and long-term impact.
Incedo delivers ROI from AI @ Scale through the “Power of 3”:
• AI & Data capabilities
• Engineering & Operations excellence
We are seeking a Data Architect to define and govern the end-to-end architecture of enterprise data products and platforms. This role is accountable for designing scalable, reusable, and compliant data architectures that translate core banking domains into high-quality data products and solutions. You will partner closely with Data Managers, Platform teams, and Engineering leads to ensure alignment with enterprise standards, regulatory requirements, and long-term modernization goals.
Data & Domain Architecture
Define end-to-end architecture for data solutions from source systems through analytics and downstream consumption.
Design and govern logical, physical, and semantic data models (facts, dimensions, metrics, hierarchies).
Apply domain-driven and data-solutions design principles to ensure consistency and reusability.
Establish and govern data contracts and domain interfaces.
Platform & Streaming Architecture
Define architectural patterns across Hadoop, lakehouse, and streaming platforms.
Ensure alignment across on-prem and cloud-based platforms in a hybrid enterprise environment.
Application & Integration Architecture
Review and guide ingestion and data service designs built on Java/Spring Boot and Python.
Architect Kafka-based pipelines for decoupled, event-driven data products.
Define enterprise semantic models supporting BI and analytics tools (Power BI, Fabric, Tableau).
Enable one-to-many consumption where a single data product supports multiple use cases.
Governance, Quality & Compliance
Embed data quality, lineage, metadata, and observability into architectural designs.
Partner with centralized governance, security, and risk teams to meet regulatory requirements.
Define data product ownership, stewardship, and lifecycle standards.
Act as the architectural authority for data products within the organization.
Review and approve solution designs and reference implementations.
12+ years of experience in data architecture, data engineering, or analytics architecture.
~ Proven experience designing enterprise-scale data products and platforms.
~ Strong expertise in data modeling, lakehouse architectures, and streaming systems.
~ Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred).
Data Platforms: Exposure to at least one of the public cloud out of Azure, AWS, or GCP in regulated enterprise environments.
Programming: Java, Spring Boot (design/review), Python
Observability: Data observability and operational monitoring (ELK preferred)
Governance & Security: Data governance, lineage, quality, and compliance
Banking or financial services experience (deposits, loans, transactions).
Familiarity with data mesh or domain-oriented operating models.
Experience supporting BI modernization initiatives.
Data Engineering & Analytics in pittsburgh at Unknown Company
This position is listed as contract and hybrid.