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.

Qualifications :

• 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.

Additional Information :

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.

Remote Work :

No

Employment Type :

Full-time