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Job Category

Software Engineering

Job Details

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Senior Platform Engineer, MDS Platforms

Position Overview:

The Marketing Decisions Science team is working to rebuild and modernize our data architecture with a cloud first approach and using code reusability through a standardized metadata drive approach and we are looking for an expert Data Platform Engineer to join our team. This role is responsible for designing, building, and maintaining data engineering architecture on the AWS cloud platform, with a strong focus on tools like Apache Airflow and dbt. The ideal candidate will have a deep understanding of metadata-driven design approaches and a passion for crafting scalable and efficient data pipelines.

Key Responsibilities:
Architect and Build Data Engineering Infrastructure: Design, develop, and maintain data engineering infrastructure on AWS, using services like ECS, S3, Glue, and others.
Implement Data Orchestration: Build and manage data orchestration workflows using Apache Airflow to schedule, monitor, and optimize data processing tasks.
Data Transformation: Improve the functionality of dbt (data build tool) to integrate into our cloud data platform.
Metadata-Driven Design: Implement and advocate for metadata-driven design principles to enhance data lineage, documentation, and data governance.
Optimize Performance: Continuously supervise and optimize data pipelines for efficiency, scalability, and cost-effectiveness.
Security and Compliance: Ensure data security and compliance with industry standards and company policies, including data encryption, access controls, and auditing.
Collaboration: Collaborate with data scientists, analysts, and other partners to understand data requirements and deliver data solutions that meet their needs.
Documentation: Maintain thorough documentation of data engineering processes, pipelines, and architecture.
Problem Solving: Identify and address data engineering challenges, tackle issues, and propose innovative solutions.
Stay Current: Stay up-to-date with industry trends, standard processes, and emerging technologies in data engineering and cloud computing.
Qualifications:

• A related technical degree.
• Proven experience as a data platform engineer, with a focus on AWS cloud platform.
• Strong expertise in Apache Airflow and dbt for data orchestration and transformation.
• Proficiency with programming languages like Python, SQL, and familiarity with relevant SDKs.
• Experience with metadata-driven design approaches and data modeling.
• Deep knowledge of AWS services such as EC2, S3, Glue, and IAM.
• Deep knowledge of Infrastructure as Code (IaC), Terraform preferred.
• Understanding of data governance, security, and compliance principles.
• Excellent problem-solving skills and the ability to work collaboratively in a team.
• Strong communication skills to effectively interact with multi-functional teams.
• AWS certifications (e.g., AWS Certified Data Analytics, AWS Certified DevOps Engineer) are a plus.

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For California-based roles, the base salary hiring range for this position is $160,000 to $220,000.Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.