Data Architect (Cloud & Databricks)

We are seeking a highly experienced Data Architect to design and lead modern, scalable, and secure cloud data platforms that power analytics, reporting, and AI-driven decision-making for enterprise customers.

This is a senior, impactful role for someone who can combine deep technical expertise with strong stakeholder engagement — shaping data strategy while guiding engineering teams to deliver robust, enterprise-grade solutions.

What you'll do:

• Lead end-to-end architecture for cloud-based data ecosystems, including lakehouse and enterprise analytics platforms
• Translate business needs into scalable architectural designs, technical roadmaps, and governance frameworks
• Architect and implement Databricks solutions using Unity Catalog, Delta Lake, Databricks SQL, and Workflows
• Define and enforce data modelling standards across relational, dimensional, and lakehouse architectures
• Design and oversee ETL/ELT frameworks, metadata strategies, and reusable transformation standards
• Establish best practices for data ingestion, quality, lineage, cataloging, and MDM (preferably Profisee)
• Partner with engineering teams to ensure performance, security, and architectural consistency
• Build cloud-native reference architectures using Azure services such as ADF, ADLS, Synapse, and Stream Analytics
• Collaborate with executive stakeholders to define data governance, taxonomy, and metadata strategies
• Mentor and guide junior engineers through design reviews and technical decision-making

Minimum Qualifications:

• Bachelor's degree in Computer Science, Engineering, MIS, or related field
• 12+ years total experience, with 3+ years in data architecture
• 3+ years hands-on Databricks experience (Unity Catalog, Delta Lake, SQL, Workflows)
• Strong expertise in Python, Apache Spark, and distributed data processing
• Advanced SQL skills, including performance tuning and optimization
• Proven experience designing lakehouse architectures and cloud data platforms
• Hands-on experience with Azure Data Services (ADF, ADLS, Azure SQL, Synapse, Stream Analytics or Fabric)
• Deep understanding of data modelling (3NF, Kimball, Inmon) and enterprise data warehousing
• Prior consulting experience with enterprise clients
• Familiarity with CI/CD and IaC tools (Terraform, ARM, Bicep)

Preferred Skills:

• Experience building automated CI/CD pipelines and environment strategies
• Exposure to Microsoft Fabric or other modern analytics platforms
• Experience with Big Data technologies (HDFS, Hive, MapReduce)
• Familiarity with NoSQL systems (Cassandra, MongoDB, HBase, CouchDB)
• Experience with BI tools such as Power BI, Tableau, Qlik, or Cognos

Skills Required
Workflows, Apache Spark, Adf, Terraform, Azure Sql, Sql, Arm, Synapse, Databricks, Python