Data Architect

Acunor Inc; New Jersey; On-site; USD 140,000 - 190,000; Full time

Job summary

Acunor Inc. in New Jersey seeks a hands-on Data Architect with Forward Deployed Engineering capabilities to solve complex enterprise data problems in a Microsoft Azure environment.

The role requires direct collaboration with business, product, data and engineering stakeholders to understand, investigate, and rapidly design and deploy data solutions, combining architecture with hands-on engineering. The ideal candidate blends enterprise‑level architectural thinking with practical coding depth in

Qualifications

• 10+ years of progressive Data Engineering/Data Architecture experience.
• Strong Microsoft Azure architecture experience.
• Hands-on with Python, PySpark, SQL and Databricks.
• Experience with Azure data services (ADLS Gen2, ADF, Synapse).
• Experience designing Lakehouse/Delta Lake architectures.
• Ability to lead architecture discussions and code reviews.
• Excellent stakeholder communication and leadership.

Responsibilities

• Understand complex data problems with stakeholders and translate into architecture.
• Define target-state architectures for enterprise data solutions.
• Architect scalable Azure-based data platforms using Databricks, ADLS, ADF, Synapse.
• Stay hands-on with Python, PySpark, SQL as needed.
• Provide technical direction to Data Engineers and Forward Deployed Engineering teams.
• Establish data quality, governance, and observability standards.
• Review design and code; troubleshoot cross-platform issues.
• Collaborate with AI/ML, DevOps, security, and product teams.

Skills

Azure architecture

Azure Databricks

Python/PySpark

Advanced SQL

ADLS Gen2

Azure Data Factory

Lakehouse/Delta Lake

Data modeling

ETL/ELT

API & enterprise integration

CI/CD & modern engineering

Data governance & security

Stakeholder communication

Hands-on problem solving

Job description

Data Architect
Location: US
Experience: 10+ Years
Cloud Ecosystem: Microsoft Azure

Job Summary

We are seeking a highly hands-on
Data Architect with Forward Deployed Engineering capabilities to solve complex enterprise data problems within a Microsoft Azure environment.

This is not a purely conceptual architecture position. The architect will work directly with business, product, data, and engineering stakeholders to understand complex and sometimes ambiguous problems, investigate existing systems and data, rapidly design appropriate solutions, and remain closely involved through implementation and production deployment.

The ideal candidate combines enterprise-level architectural thinking with the technical depth of a senior hands-on engineer.

Key Responsibilities

• Work directly with business and technical stakeholders to understand complex data and technology problems.
• Translate ambiguous business requirements into actionable architecture and engineering solutions.
• Rapidly understand existing data ecosystems, applications, integrations, data flows, and constraints.
• Define target-state architectures for enterprise data solutions.
• Architect scalable solutions using Azure Databricks, ADLS, ADF, Fabric/Synapse, and related Azure technologies.
• Define Lakehouse, Delta Lake, batch, streaming, and analytical architecture patterns.
• Remain hands‑on with Python, PySpark, SQL, Databricks, and data engineering as required.
• Develop or guide rapid prototypes to validate architecture decisions.
• Define ingestion, transformation, storage, consumption, API, and integration patterns.
• Architect solutions spanning data platforms, APIs, applications, analytics, and AI/ML consumers.
• Define logical and physical data models.
• Establish standards for data quality, metadata, lineage, security, governance, and observability.
• Design for scalability, resiliency, performance, security, and cost optimization.
• Conduct architecture, design, and code reviews.
• Troubleshoot complex cross‑platform technical issues.
• Provide technical direction and hands‑on guidance to Data Engineers and FDE teams.
• Partner with AI/ML, DevOps, security, product, and application engineering teams.
• Own technical outcomes from problem discovery through production implementation.

Required Qualifications

• 10+ years of progressive Data Engineering/Data Architecture experience.
• Strong Microsoft Azure architecture experience.
• Azure Databricks.
• Python and PySpark.
• Advanced SQL.
• ADLS Gen2.
• Azure Data Factory.
• Lakehouse and Delta Lake architecture.
• Data modeling.
• ETL/ELT and distributed data processing.
• API and enterprise integration architecture.
• CI/CD and modern engineering practices.
• Data security, governance, metadata, lineage, and quality.
• Experience architecting enterprise‑scale data platforms.
• Strong stakeholder‑facing communication and technical leadership.
• Ability to move between architecture discussions and hands‑on technical problem solving.

Preferred Qualifications

• Microsoft Fabric.
• Azure Synapse.
• Unity Catalog.
• Event Hubs/Kafka.
• AKS/Kubernetes.
• Terraform/IaC.
• Azure OpenAI/AI Foundry exposure.
• Healthcare data/platform experience.
• Consulting, customer‑facing engineering, or Forward Deployed Engineering experience.