Technical Architect - Data - Azure

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If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

About Quantiphi:

• Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI—driving measurable outcomes at the very core of their operations.
• Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value—not just technology for technology’s sake.
• Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact.

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• 3x AWS AI/ML award wins.
• 3x NVIDIA Partner of the Year titles.
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• We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators.
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Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here!

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Role:Data Architect (Azure Databricks)

Experience level:7+

Employment type:Full Time

Location:Remote (USA/Canada)

Description:

We are looking for an experienced Azure & Databricks Data Architect with a strong background in data migration and modernization, particularly in transitioning workloads from on-premises or other cloud platforms to Microsoft Azure and Databricks. As a key member of our technology consulting team, you will play a pivotal role in designing, planning, and implementing scalable, secure, and high-performance data solutions for our clients.

Must have skills:

• 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.

Good to have skills:

• 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.

Role & 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.

What is in it for you:

• 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.