Senior Data Engineer

As a Senior Data Engineer, you will operate as a technical expert responsible for designing, building, and scaling enterprise-grade data engineering solutions across our cloud-native data platform on Azure and Databricks. This role requires deep technical knowledge, strong engineering judgment, and the ability to deliver high-impact solutions that support analytics, AI/ML, operational reporting, and streaming data solutions.

You will partner closely with Data Architects, Platform Admins, Cloud Engineers, Product Owners, and cross-functional stakeholders to translate strategy and architecture into production-grade high-quality solutions. You will lead complex technical work within your domain, mentor engineers, raise engineering standards, and influence delivery across multiple products, platforms, and business capabilities.

GENERAL RESPONSIBILITIES

• Apply advanced technical knowledge to design, build, and optimize scalable data pipelines, reusable engineering frameworks, and platform capabilities using Azure Data Factory, Databricks, Spark, streaming and related cloud-native technologies.
• Lead engineering design and implementation for ingestion, transformation, and data product frameworks that support structured, semi-structured, and unstructured data at enterprise scale.
• Implement automation for data ingestion, processing, validation, and monitoring to ensure reliability and observability.
• Drive implementation of future-state data architecture and cloud migration patterns, ensuring solutions are reliable, secure, maintainable, and aligned to enterprise modernization goals.
• Optimize data workflows for performance and cost, leveraging Delta Lake, partitioning, caching, and compute scaling strategies.
• Define data access controls and RBAC policies in collaboration with security and governance teams.
• Provide technical leadership within the team by mentoring engineers, reviewing solution designs, setting engineering standards, and promoting best practices for CI/CD, testing, automation, observability, and cloud-native delivery.
• Partner with AI/ML, analytics, and business teams to enable high-value real-time and batch data activation use cases that improve decision-making and business outcomes.
• Ensure compliance with data governance, privacy, and security standards.

• 8+ years of experience in data engineering, including experience delivering complex, enterprise-scale data solutions; Azure experience preferred.
• Advanced technical expertise in Cloud based data warehouses (Databricks Preferred), Spark, Delta Lake, Azure Services, data integration, data modeling, and performance optimization.
• Proven experience in building and optimizing large-scale ETL/ELT pipelines and data lakehouse architectures.
• Solid understanding of data lakehouse modeling, data warehousing, and performance tuning.
• Experience with Customer 360 data products, identity resolution, customer profile enrichment, and activation use cases is highly desired.
• Experience designing and supporting streaming data solutions is highly desired, including Kafka or similar event streaming platforms.
• Martech exposure is preferred, including experience supporting marketing, personalization, campaign, loyalty, or customer engagement data use cases.
• Experience with Infrastructure as Code (Terraform, ARM templates) and DevOps tools (Git, Azure DevOps, Jenkins).
• Familiarity with RBAC, data security, and compliance frameworks.
• Strong communication and collaboration skills, with the ability to influence technical direction, clarify tradeoffs, and align engineering decisions across teams and stakeholders.
• Experience with Agile methodologies and working in cross-functional product teams.
• Demonstrated ability to lead through influence, mentor engineers, manage technical ambiguity, and drive outcomes across a broad scope of products, platforms, and stakeholders.

Benefits:
• Paid Holidays and Vacation
• Medical, Dental & Vision benefits that start on the first day of employment
• No-cost mental health support for employee and dependents
• Childcare tuition discounts
• No-cost fitness, nutrition, and wellness programs
• Fertility benefits
• Adoption assistance
• 401k matching contributions
• 15% off the purchase price of stock
• Company bonus

All your information will be kept confidential according to EEO guidelines.