Senior Azure Data Architect

Overview

On Site
Full Time
Part Time
Accepts corp to corp applications
Contract - Independent
Contract - W2

Skills

Data Engineering
Management
Real-time
Warehouse
Amazon Web Services
Software Design
Data Profiling
Reporting
Data Quality
Data Analysis
EDA
Regression Analysis
Analytical Skill
Data Governance
Auditing
Team Leadership
Mentorship
ADF
Databricks
Data Lake
Storage
Microsoft SSAS
Microsoft Power BI
Data Modeling
Data Warehouse
ODS
Snow Flake Schema
Extract
Transform
Load
ELT
Streaming
MPP
Mobile Device Management
Reference Data
Predictive Analytics
Machine Learning (ML)
Enterprise Resource Planning
Customer Relationship Management (CRM)
Sales Operations
Pricing
Contract Management
Master Data Management
Solution Architecture
Collaboration
Regulatory Compliance
Design Review
Communication
Leadership
Data Architecture
Business Intelligence
Microsoft Azure
Cloud Computing
Analytics

Job Details

Job Role: Senior Azure Data Architect / BI Solution Architect

location:
Edison, NJ

Role Overview

We are seeking a highly experienced Senior Azure Data Architect / BI Solution Architect to design, build, and govern enterprise-scale analytics and data platforms on Microsoft Azure. The role requires strong hands-on expertise with Azure Synapse (mandatory), ADF, Databricks, ADLS, and Power BI, along with the ability to translate complex business requirements into scalable, secure, and high-performance data solutions.

This position works closely with enterprise architects, business stakeholders, and technical leads to deliver end-to-end cloud data and analytics solutions aligned with governance, security, and business objectives.



Key Responsibilities

Architecture & Solution Design

  • Design and architect end-to-end BI and analytics solutions using Azure Synapse, Azure Data Factory, Databricks, ADLS, Power BI, Azure Analysis Services, and Azure Monitor.

  • Define high-level and low-level architectures for data ingestion, processing, storage, and reporting.

  • Design scalable, secure Azure solutions leveraging MPP architectures and cloud best practices.


Data Engineering & Integration

  • Architect and oversee ETL/ELT pipelines (batch and near-real-time) using ADF, Databricks, and streaming services.

  • Ensure efficient ingestion and transformation of large-scale datasets into Data Lakes and Cloud Data Warehouses.

  • Coordinate with ETL and reporting teams to deliver robust, performant data pipelines.


Data Modeling & Warehousing

  • Design and govern data models including normalized, star, snowflake schemas, EDW, and ODS.

  • Support analytical cube design and reporting layers aligned to business requirements.

  • Provide architectural oversight for ADLS, Azure Synapse, and integrations with Snowflake and AWS Lake Formation.


Analytics, BI & Data Quality

  • Lead BI solution design, data profiling, and reporting strategies using Power BI and Azure Analysis Services.

  • Ensure strong data quality, master data management (MDM), and reference data practices.

  • Apply basic predictive analytics and ML concepts (EDA, regression models) to enhance analytical capabilities.


Governance, Security & Compliance

  • Ensure adherence to data governance, security, and regulatory standards across all solutions.

  • Conduct solution and design reviews, validate architectures, and incorporate stakeholder feedback.

  • Work with Azure AD, monitoring, and security teams to implement secure access and auditing.


Stakeholder & Team Leadership

  • Collaborate closely with enterprise architects, business analysts, and stakeholders to translate business needs into technical solutions.

  • Provide technical guidance and mentorship to project teams throughout the delivery lifecycle.

  • Communicate complex data concepts clearly to both technical and non-technical audiences.




Must-Have Technical Skills

  • Azure Synapse Analytics (mandatory)

  • Azure Data Factory (ADF)

  • Azure Databricks

  • Azure Data Lake Storage (ADLS)

  • Azure Analysis Services

  • Power BI

  • Azure Monitor

  • Data modeling (EDW, ODS, star/snowflake, normalized models)

  • ETL/ELT (batch & streaming)

  • Azure cloud data architecture & MPP systems

  • Master Data Management (MDM) & reference data

  • Basic predictive analytics & ML concepts




Must-Have Functional Skills

  • Strong understanding of ERP, CRM, Sales Operations, pricing, contract management, and master data systems

  • End-to-end solution architecture design capability

  • BI & analytics solution leadership

  • Cross-functional collaboration and integration

  • Governance, compliance, and design review ownership

  • Strong communication and leadership skills




Experience Required

  • 10+ years in data architecture, BI, or analytics engineering

  • Extensive Azure cloud data platform experience

  • Proven experience delivering enterprise-scale analytics solutions


Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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