Data Architect

🚀 Contract Opportunity | Data Architect Experience: 13+ Years Location: Remote 🔹 Role Overview We are seeking a highly experienced Data Architect to design and lead end-to-end architectures for complex, cloud-based data ecosystems. This role will focus on and enterprise data platforms, with strong emphasis on Databricks and Azure-native services, data governance, and scalable architecture patterns. 🔹 Key Responsibilities Design and lead end-to-end cloud data architectures, including lakehouse and enterprise data platforms Translate business requirements into scalable architectural designs, technical roadmaps, and detailed specifications Architect advanced scenarios such as: Common data models across multiple development teams Secure multi-tenant data sharing with customers Integrations between Databricks and external data platforms Row-Level Security (RLS) from Databricks to analytics & reporting tools Architect and implement Databricks-based solutions including: Unity Catalog Delta Lake Databricks SQL Workflows & governance frameworks Define and enforce data modeling standards (3NF, dimensional, lakehouse, enterprise models) Architect and oversee ETL/ELT frameworks, metadata-driven transformations, and reusable patterns Establish best practices for data ingestion, curation, cataloging, lineage, data quality, and MDM (Profisee preferred) Partner with cross-functional engineering teams to ensure performance, security, and architectural consistency Mentor and lead junior engineers; contribute to design reviews and architectural decision-making Develop cloud-native reference architectures using: Azure Data Factory Azure Data Lake (ADLS) Azure SQL Synapse Analytics Stream Analytics / Fabric equivalents Collaborate with executive stakeholders to define data governance standards, taxonomy, and metadata strategies Present and defend architecture decisions to customers and senior leadership 🔹 Minimum Qualifications Bachelor’s degree in Computer Science, Engineering, MIS, or related field 13+ years of overall experience with strong data engineering / data platform background 4+ years in Data Architecture roles 4+ years of hands-on experience with Databricks (Unity Catalog, Delta Lake, Databricks SQL, Workflows) Strong proficiency in Python, Apache Spark, and distributed data processing Advanced SQL Hands-on experience with Azure Data Services (ADF, ADLS, Azure SQL, Synapse, Stream Analytics / Fabric) Strong understanding of data modeling principles (Kimball, Inmon, 3NF, EDW concepts) 🔹 Preferred Qualifications Experience implementing CI/CD automation, Git-based workflows, and environment strategies Familiarity with IaC tools (Terraform, ARM, Bicep) Experience with Big Data ecosystems (HDFS, Hive, MapReduce) Exposure to NoSQL databases (Cassandra, MongoDB, HBase, CouchDB) Experience with BI & reporting tools (Power BI, Tableau, Qlik, 📨 How to Apply Interested candidates can share their resume at: [[Upgrade to PRO to see contact]]