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Tier-1 employer, metro location, broad and common data-platform skillset, and wide stakeholder visibility increase competition.
Core Azure data engineering skills transfer across industries, though MarTech integrations and compliance needs add moderate specificity.
Role demands deep Azure data-platform, Databricks, governance, integration, and DevOps skills, enforcing strict technical filters.
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Design and manage a secure, scalable Azure data platform supporting marketing and customer analytics with responsibility for platform availability, performance, and cost optimization.
Architect and implement ETL/ELT pipelines using Azure Data Factory, Databricks (PySpark, SQL), optimizing data ingestion and transformation for big data and real-time workloads.
Lead integration of marketing data platforms (Salesforce, Adobe, Facebook Ads) and support Power BI dashboard data models including DevOps for CI/CD of data workflows.
Experience managing Azure data services including Azure Data Factory, Databricks, Azure SQL, Synapse, Key Vault, and Data Lake Storage.
Work Experience Required: Not explicitly mentioned in the JD.
Familiarity with data governance and security frameworks including GDPR, CCPA compliance, Azure RBAC, and Purview.
Experience with DevOps practices for CI/CD pipeline development and deployment using Azure DevOps or GitHub Actions.
Proven background in designing and operating large-scale Azure-based data platforms focused on marketing/customer analytics use cases.
Skilled in building and optimizing ETL pipelines and data models integrating multiple MarTech platforms and APIs under Agile delivery environments.
Experienced in deploying infrastructure as code, monitoring, alerting, and automating data platform workflows with a hands-on DevOps approach.