Job description

About the position Responsibilities • Design and manage a secure, scalable Azure-based data platform to support marketing and customer analytics. • Administer and optimize Azure services including Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Synapse Analytics, and Key Vault. • Implement robust monitoring, alerting, and cost optimization for the Azure data environment. • Ensure platform availability, data pipeline reliability, and high performance for downstream consumption. • Establish and manage Azure Data Lake Storage (ADLS) structures, security models, and performance optimization strategies. • Monitor platform health, performance, and cost usage; implement automation to improve efficiency and reliability. • Architect and implement ETL/ELT pipelines using Databricks (PySpark, SQL, Delta Lake) and Azure Data Factory. • Optimize data ingestion, transformation, and storage for big data workloads and real-time streaming. • Work with stakeholders to design data models, schemas, and APIs supporting analytics and operational needs. • Ensure data quality, lineage, and governance through integration with tools such as Purview or equivalent. • Build robust data transformations and aggregations to support marketing dashboards and customer 360 views. • Optimize Python jobs, SQL queries, and data flows for performance and scalability. • Integrate marketing data from platforms such as Salesforce, Adobe Experience Platform, Adobe Analytics, Facebook Ads, HubSpot, and CRM systems. • Work with MarTech and Marketing Ops teams to ensure clean, timely data feeds for campaigns. • Build APIs, REST connectors, or use tools such as Azure Logic Apps, Azure Functions, and API Management. • Provide data models and optimized datasets to support Power BI dashboards for marketing. • Collaborate with BI developers on semantic models using Synapse SQL Serverless or Power BI Datasets. • Ensure data freshness and efficient refresh cycles for marketing reports. • Implement data access controls, encryption, and auditing using Azure RBAC, Purview, and Private Endpoints. • Ensure compliance with GDPR, CCPA, and internal policies. • Define and manage metadata, data dictionaries, and quality processes. • Work in Agile teams providing estimates and delivery timelines for marketing use cases. • Collaborate with marketing analytics, Martech, and Marketing data platform teams to prioritize backlog items. • Translate marketing needs into platform capabilities and deliverables. • Establish DevOps practices for CI/CD pipeline development, deployment, and testing for data workflows using Azure DevOps or GitHub Actions. • Manage source control, release management, and environment configuration for data engineering components (ADF, Databricks, Synapse). • Automate deployment of data pipelines and related resources with rollback strategies and deployment validations. • Set up monitoring and alerting for CI/CD pipelines and infrastructure health using tools like Azure Monitor, Log Analytics, or Application Insights. Requirements • Bachelor's or master's degree in computer science, Engineering, Information Systems, or a related field experience. • 7+ years of experience in data engineering, architecture, or platform administration with at least 3+ years in Azure-based environments. • Deep expertise in Azure Data Factory, Azure Databricks, Azure SQL Database, and/or Synapse Analytics. • Strong SQL and Python skills; familiarity with Git, CI/CD (Azure DevOps or GitHub Actions). • Understanding of customer data models, identity resolution, and campaign data lifecycles. • Experience with CI/CD pipelines and DevOps best practices for data engineering and infrastructure deployments. • Experience supporting enterprise Power BI solutions using Azure. Experience integrating marketing or any other platforms via APIs and RESTful services. • Proficiency with Terraform for managing Azure infrastructure via code. Nice-to-haves • Azure Solutions Architect or Azure Data Engineer Associate certifications. • Experience with Marketing technologies (Adobe, Salesforce, Marketo, 6 sense, etc) and CDPs like Adobe CDP or Tealium. • Infrastructure as Code (IaC) using Terraform, YAML. • Streaming data architecture using Event Hubs, Kafka, or Stream Analytics. Benefits • Comprehensive health plan that includes medical/prescription drug and vision, dental insurance, and no-cost short- and long-term disability. • Company-paid life insurance and legal services. • Retirement pension funded entirely by MetLife and 401(k) with employer matching. • Group discounts on voluntary insurance products including auto and home, pet, critical illness, hospital indemnity, and accident insurance. • Employee Assistance Program (EAP) and digital mental health programs. • Parental leave, volunteer time off, tuition assistance and much more.

Requirements