Senior Manager, Data Engineering in United States Embassy at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Manager, Data Engineering based in United States.

This leadership role offers the opportunity to shape and scale a modern data platform that powers critical business decisions.
You will lead a talented engineering team responsible for building reliable, high-quality data infrastructure and products.
The role combines deep technical expertise with people leadership, strategic thinking, and cross-functional collaboration.
You will drive improvements across data reliability, scalability, cost efficiency, and self-service capabilities.
Working closely with analytics, data science, product, and engineering teams, you will transform complex data challenges into durable solutions.
This is an opportunity to influence engineering practices, mentor high-performing teams, and create meaningful impact through data innovation.

As a Senior Manager, Data Engineering, you will own the evolution of a scalable data ecosystem while leading engineering teams and partnering with business stakeholders. You will be responsible for improving platform reliability, enabling self-service analytics, and ensuring data products deliver measurable value across the organization.

• Lead, mentor, and grow a high-performing team of data engineers by establishing strong engineering practices, supporting career development, and fostering a culture of ownership and continuous learning.
• Own the reliability, quality, scalability, and operational excellence of core data platforms, including ingestion, transformation, orchestration, and serving layers.
• Establish strong data quality standards through lineage tracking, freshness monitoring, anomaly detection, observability practices, and reliable performance metrics.
• Drive the development of self-service analytics capabilities that reduce manual requests and empower teams to access trusted data independently.
• Manage platform efficiency by optimizing compute and storage costs while maintaining high reliability and performance standards.
• Partner with Data Science, Analytics, Product, Engineering, and business teams to define data models, semantic layers, governance practices, and data contracts.
• Promote engineering excellence through code reviews, testing strategies, CI/CD practices, incident response processes, and post-incident improvements.
• Encourage responsible adoption of AI-powered engineering tools to improve productivity, quality, and team effectiveness.
• Support strategic planning by translating business needs into scalable technical solutions and long-term platform improvements.

The ideal candidate is an experienced engineering leader with a strong background in data infrastructure, scalable systems, and team management. You bring technical depth, business awareness, and the ability to collaborate effectively across multiple functions.

• 8+ years of experience in data engineering, backend engineering, or data infrastructure roles, preferably within large-scale environments.
• 3+ years of experience managing engineering teams, including hiring, coaching, performance management, and team development.
• Strong expertise in building and operating large-scale batch and streaming data pipelines using technologies such as Spark, dbt, Airflow, or similar orchestration frameworks.
• Experience working with modern data platforms such as Databricks, Snowflake, BigQuery, or comparable lakehouse and warehouse technologies.
• Proven ability to own data reliability initiatives, including SLAs, observability, lineage, quality monitoring, and incident management.
• Strong understanding of data modeling principles, semantic layers, governance, privacy, and access-control practices.
• Ability to design scalable data products that support multiple stakeholders and business use cases.
• Excellent communication skills with the ability to align technical and non-technical teams around shared goals.
• Experience building self-service data platforms or reducing operational dependencies through automation and reusable solutions is preferred.
• Familiarity with AI-assisted engineering tools and experience applying AI responsibly within development workflows is a plus.
• Strong problem-solving abilities, adaptability, ownership mindset, and the ability to thrive in a fast-changing environment.

• Competitive compensation package based on experience and location.
• Salary range for eligible US locations: approximately $180,200 - $274,300 USD annually depending on compensation zone.
• Eligibility for company bonus programs and equity participation through Restricted Stock Units (RSUs).
• Flexible remote-first work environment designed around autonomy and collaboration.
• Opportunity to work with a global engineering organization building technology used at massive scale.
• Supportive culture focused on growth, innovation, and continuous learning.
• Opportunities to leverage modern technologies, including AI-powered tools, to improve engineering impact.
• Team gatherings, offsites, and intentional opportunities for in-person collaboration.
• Comprehensive employee benefits and wellness support.