Quantiphi · 8 hours ago
Technical Architect - Data - Azure
United States
Full-time
Remote
Senior Level
7+ years expQuantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions. They are seeking an experienced Azure & Databricks Data Architect to design and implement scalable data architecture, manage data migration projects, and ensure data governance and security compliance for their clients.
Artificial Intelligence (AI)Cloud Data ServicesInsurTechMachine LearningSoftware
Responsibilities
Design and implement scalable data architecture on Azure and Databricks based on business and technical requirements
Develop data integration solutions to ingest data from various structured/unstructured sources into Azure/Databricks, ensuring quality and consistency
Choose and implement appropriate data storage solutions (ADLS, Synapse, Databricks Delta Lake) optimized for performance and cost
Implement and optimize data processing pipelines using ADF, Databricks, Synapse, or other Azure-native services
Plan, execute, and oversee data migration projects, including migrations from on-premises and other cloud environments to Azure
Establish and enforce data governance and security policies, ensuring compliance with regulatory and industry standards
Monitor and fine-tune data pipelines for performance, cost optimization, and scalability
Create data models aligned to client solution requirements
Prepare detailed architecture documents, solution blueprints, and provide training/knowledge transfer to team members
Collaborate with cross-functional teams—data engineers, architects, analysts, SMEs—to ensure alignment with business needs
Manage project scoping, planning, execution, risk tracking, and ensure on-time delivery of data initiatives
Communicate effectively with non-technical stakeholders, explaining migration strategies, architectural decisions, and business benefits
Qualification
Required
Profound knowledge and expertise in Microsoft Azure, including Azure SQL Database, Azure Data Lake Storage, Azure Synapse, Azure Databricks, Azure Data Factory, Azure Functions, and Event Hub
Strong hands-on expertise with Databricks Lakehouse, including Delta Lake, Unity Catalog, Medallion architecture, Spark optimization, notebook development, and CI/CD integration
Strong skills in data modeling, data warehousing, dimensional modeling, and designing scalable data architectures
Proficiency in ETL/ELT pipeline development using ADF, Synapse, Databricks, or similar Azure-native services
In-depth understanding of data governance, cataloging, lineage, data security, and compliance frameworks (Azure Purview / Unity Catalog)
Experience with relational and NoSQL database systems and the ability to choose appropriate storage solutions
Proficiency in SQL and working knowledge of NoSQL systems
Strong programming experience in Python, PySpark, Java, or C# for automation and data manipulation
Extensive experience in data migration, including movement from on-premises and/or other cloud platforms into Azure and Databricks
Strong understanding of data quality frameworks, validation techniques, and pipeline reliability
Excellent documentation skills for architectural artifacts, migration playbooks, and solution guides
Excellent communication skills for conveying complex technical concepts to non-technical stakeholders
Travelling to client location as needed
Ability to manage data-related projects, collaborate with cross-functional teams, and deliver within defined timelines
Preferred
AWS implementation experience - Glue, Redshift, S3, DMS - considered a strong plus but not mandatory
Relevant Microsoft Azure certifications such as DP-203, AZ-305, or Azure Solutions Architect Expert
Relevant Databricks certifications such as Databricks Certified Data Engineer Associate, Databricks Certified Data Engineer Professional
Knowledge of big data technologies like Hadoop, Spark, Kafka, and other distributed systems
Experience with DevOps practices and CI/CD pipelines (Azure DevOps, GitHub Actions, Databricks Release Pipelines)
Familiarity with Azure Machine Learning, ML Ops concepts, and implementing data-driven models
Experience with real-time streaming using Azure Stream Analytics, Event Hub, or Kafka
Skills in advanced analytics, data mining, and statistical analysis
Experience with PowerApps and broader Power Platform components
Experience with multi-cloud migrations, including migrating workloads from AWS to Azure
Knowledge of Lakehouse patterns and formats: Delta Lake, Iceberg, Parquet
Understanding of Azure infrastructure - Networking, Security, Virtual Networks, Key Vault, Monitoring
Benefits
Make an impact at one of the world’s fastest-growing AI-first digital engineering companies.
Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.
Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.
Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.
Company
Quantiphi
Quantiphi is a digital engineering company that provides data science and machine learning software and services.
1001-5000 employees
H1B Sponsorship
Quantiphi has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (45)
2024 (65)
2023 (45)
2022 (94)
2021 (71)
2020 (46)
Funding
Current Stage
Late StageTotal Funding
$23.41MKey Investors
Multiples
2019-12-19Series A· $20M
2018-09-13Series Unknown· $3.41M
Leadership Team
Asif Hasan
Co-Founder
Ritesh Patel
Co-Founder
Recent News
2025-12-05
Company data provided by crunchbase