Data Architect

Job Description

Job Title: Data Architect

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Location: Pittsburgh, PA(Hybrid)

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About Incedo:

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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.

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We are building Incedo 4.0 - an AI-native, execution-focused, founder-led organization designed for scale, speed, and long-term impact.

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Incedo delivers ROI from AI @ Scale through the “Power of 3”:

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• Deep domain expertise

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• AI & Data capabilities

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• Engineering & Operations excellence

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Role Overview

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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. The position is primarily architectural, with selective hands-on involvement to establish reference patterns and guide delivery teams.

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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.

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Key Responsibilities

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Data & Domain Architecture

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• Define end-to-end architecture for data solutions from source systems through analytics and downstream consumption.
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• Design and govern logical, physical, and semantic data models (facts, dimensions, metrics, hierarchies).
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• Apply domain-driven and data-solutions design principles to ensure consistency and reusability.
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• Establish and govern data contracts and domain interfaces.
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Platform & Streaming Architecture

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• Define architectural patterns across Hadoop, lakehouse, and streaming platforms.
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• Guide batch, near-real-time, and event-driven designs using Spark and Kafka.
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• Ensure alignment across on-prem and cloud-based platforms in a hybrid enterprise environment.
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Application & Integration Architecture

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• Review and guide ingestion and data service designs built on Java/Spring Boot and Python.
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• Architect Kafka-based pipelines for decoupled, event-driven data products.
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• Apply graph modeling patterns where relationship-centric use cases require it.
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Analytics & Semantic Enablement

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• Define enterprise semantic models supporting BI and analytics tools (Power BI, Fabric, Tableau).
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• Ensure consistent business definitions and metrics across reporting and analytics.
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• Enable one-to-many consumption where a single data product supports multiple use cases.
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Governance, Quality & Compliance

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• Embed data quality, lineage, metadata, and observability into architectural designs.
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• Partner with centralized governance, security, and risk teams to meet regulatory requirements.
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• Define data product ownership, stewardship, and lifecycle standards.
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Collaboration & Leadership

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• Act as the architectural authority for data products within the organization.
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• Review and approve solution designs and reference implementations.
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• Bridge enterprise architecture standards with delivery execution across teams.
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Required Qualifications

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• 12+ years of experience in data architecture, data engineering, or analytics architecture.
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• Proven experience designing enterprise-scale data products and platforms.
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• Strong expertise in data modeling, lakehouse architectures, and streaming systems.
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• Excellent communication skills with technical and business stakeholders.
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• Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred).
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Technical Skills

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• Data Platforms: Hadoop, modern Lakehouse architecture
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• Streaming & Processing: Spark, Spark Streaming, Kafka
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• Exposure to at least one of the public cloud out of Azure, AWS, or GCP in regulated enterprise environments.
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• Programming: Java, Spring Boot (design/review), Python
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• Modeling & Analytics: Dimensional, canonical, domain-driven modeling; semantic layers
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• Observability: Data observability and operational monitoring (ELK preferred)
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• Governance & Security: Data governance, lineage, quality, and compliance
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Preferred Qualifications

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• Banking or financial services experience (deposits, loans, transactions).
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• Familiarity with data mesh or domain-oriented operating models.
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• Experience supporting BI modernization initiatives.
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Best Regards,

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Deepak Gulia

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Sr. Talent Acquisition-USA