Quantiphi

Technical Architect – Data, Azure

Quantiphi

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇳🇱 Netherlands

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Job Level

SeniorLead

Tech Stack

AzureCloudETLJavaNoSQLPySparkPythonSparkSQLUnity

About the role

  • 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.

Requirements

  • 7+ years of experience as a Data Architect with Azure & Databricks
  • 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.
  • Traveling to client location as needed.
  • Ability to manage data-related projects, collaborate with cross-functional teams, and deliver within defined timelines.
Benefits
  • Work where innovation happens - work with disruptive innovators
  • Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.
  • Make an impact at one of the world’s fastest-growing AI-first digital engineering companies.
  • Certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data architecturedata integrationdata storage solutionsdata processing pipelinesdata migrationdata modelingETLSQLPythonDatabricks
Soft skills
communicationcollaborationproject managementdocumentationproblem-solvingtrainingrisk trackingstakeholder engagementteam leadershiptime management