Senior Manager, Data Engineering

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Manager, Data Engineering in the United States.

In this role, you will lead and scale a high-performing data engineering organization responsible for building modern, scalable data platforms that support enterprise analytics, product insights, and operational intelligence. You will partner with cross-functional teams to define data strategy, implement robust pipelines, and deliver actionable insights to drive business decisions. This position combines hands-on technical leadership with people management, overseeing data infrastructure, governance, and analytics initiatives. Your work will enable self-service analytics, enhance data accessibility, and optimize cloud-based data systems, contributing directly to the company’s growth and innovation. The role offers a collaborative, remote-friendly environment with opportunities to influence strategic initiatives across multiple teams.

Accountabilities:

·         Build, lead, and mentor a high-performing team of data engineers, fostering technical excellence, innovation, and career growth.

·         Define and execute the long-term technical strategy for the data platform, aligning with business objectives and product roadmaps.

·         Architect scalable, reliable, and secure data infrastructure leveraging cloud platforms (AWS) and modern data stack tools (Snowflake, Airflow, DBT).

·         Implement robust ETL/ELT pipelines, data transformation frameworks, and self-service analytics capabilities using BI tools (e.g., Sigma).

·         Drive data governance, quality, and compliance initiatives to meet enterprise and regulatory requirements.

·         Collaborate with Product, Engineering, Sales, Marketing, and Finance teams to deliver actionable analytics and customer-facing insights.

·         Optimize cloud costs, monitor system performance, and establish incident response and operational excellence practices for data infrastructure.

Requirements

·         8+ years of experience in data engineering, including 4+ years in technical leadership roles managing teams of 5+ engineers.

·         Proven experience building and scaling data engineering organizations in high-growth technology environments.

·         Hands-on expertise with Snowflake, Airflow, DBT, AWS cloud services, and modern data stack architecture.

·         Proficiency in programming languages for data engineering (Python, SQL, Scala).

·         Strong knowledge of SaaS business models, product analytics, and customer lifecycle metrics.

·         Experience with self-service analytics platforms, dashboards, and enterprise reporting.

·         Excellent communication and leadership skills with the ability to influence stakeholders at all levels.

·         Knowledge of data privacy regulations, security frameworks, and enterprise compliance requirements.

Benefits

·         Competitive base salary and equity participation.

·         Flexible, remote-first work environment with freedom to structure your schedule.

·         Comprehensive home office setup and technology stipend.

·         Paid parental leave and generous PTO policies.

·         Professional development budget for training, conferences, and courses.

·         Quarterly company-wide hackathons and team-building initiatives.

·         Retirement and health benefits (varies by location).

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile undergoes an AI-powered screening process designed to identify top talent efficiently and fairly:
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 We automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is complete, it is shared with the hiring company, which handles final decisions and next steps.

Thank you for your interest!

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