• Hire, manage, engage, and mentor a large, remote team of software engineers, fostering a collaborative and accountable culture. • Guide the development of each team member through coaching and constructive feedback. • Conduct formal performance reviews and manage compensation adjustments. • Strategically resource developers to meet client needs and ensure optimum utilization of resources. • Manage the Engineering budget to meet company financial goals. • Advance the engineering practice by continuously implementing best practices and refining development processes in collaboration with other delivery leaders. • Ensure a sound development discipline and execution across the full software development lifecycle. • Provide high-level technical guidance to ensure the delivery of scalable, secure, and high-quality solutions. • Occasionally contribute to billable client work as a subject matter expert. • Perform other duties as assigned that are reasonably within the scope of this position.

• Lead and develop a distributed team of DevOps engineers focused on mission-critical CICD automation • Align, guide, and empower engineers to automate and manage critical processes, optimize CICD tools usage, and integrate build/test agent provisioning systems • Establish and cultivate key relationships with other leaders across the organization • Investigate and evaluate next-generation technologies to inform future roadmap goals • Analyze project requirements and prioritize work based on urgency and criticality • Triage support tickets to ensure proper prioritization and resolution • Help resolve and unblock escalated issues affecting delivery workflows • Drive continuous improvement in software delivery processes and automation • Provide technical leadership and mentorship to team members

• Lead and grow a 70+ person engineering team across 5 domains. • Ensure delivery of high-quality, business-impacting software at scale. • Drive continuous improvement, incident management, and reliability. • Partner with Product and Data to align tech strategy with company goals. • Mentor and develop managers and senior engineers, raising the bar for leadership and execution. • Oversee IT & InfoSec as part of the wider tech scope.

Role Description We are seeking an experienced Senior Data Engineering Manager to lead and scale our data engineering organization. You’ll build and optimize our modern data platform, lead a distributed engineering team, and partner with product, analytics, and business leaders to ensure data is accurate, accessible, and scalable. This role offers full autonomy, leadership opportunities, and direct impact on our data architecture and product capabilities. In this role, you will strengthen our analytics capabilities, partner closely with business leaders, and ensure the delivery of high-impact, actionable insights that drive decision-making across the organization. This position is fully remote and based within the United States. Responsibilities - Team Leadership & Strategy - Lead, mentor, and grow a distributed analytics team across multiple time zones. - Establish priorities, set goals, and manage performance to foster a high-performing analytics organization. - Develop and implement analytics standards, best practices, and processes to ensure quality and consistency. - Platform & Pipeline Engineering - Architect, build, and maintain scalable ETL/ELT pipelines, event streams, and ingestion frameworks to support analytics, product features, and ML applications. - Oversee the design and implementation of cloud-native data infrastructure (data warehouses, lakes, transformation layers, and orchestration). - Ensure high data quality, consistency, governance, and observability across all data systems. - Oversee and guide the development of dashboards, automated reports, and analytics tools using BI platforms (e.g., Tableau, Looker, Power BI). - Ensure robust data pipelines, reliable metrics, and scalable reporting solutions in collaboration with data engineering. - Project Delivery - Prioritize analytics projects, balance roadmap demands, and ensure timely delivery. - Champion analytical excellence, including experiment design, KPI definition, and model validation. Qualifications - Bachelor’s or Master’s degree in Computer Science, Engineering, Data Systems, or a related quantitative field. - 7+ years of professional experience in data engineering, data platform development, or related fields — including managing data teams. - Deep experience with modern cloud data ecosystems (e.g., Snowflake, BigQuery, AWS/Azure/GCP data services). - Expertise building and optimizing ETL/ELT pipelines using tools like dbt, Apache Airflow, Spark, or similar orchestration frameworks. - Strong SQL and programming skills (Python, Scala, or similar languages). - Experience with data modeling, schema design, and real-time data ingestion strategies. - Excellent communication skills, with the ability to translate complex analyses to non-technical stakeholders. - Demonstrated ability to manage multiple priorities in a fast-paced, remote environment. Preferred Qualifications - Experience managing internationally distributed teams. - Familiarity with cloud data platforms (e.g., Snowflake, AWS, GCP) and modern analytics stacks. - Experience with statistical modeling or data science techniques. Benefits - Healthcare coverage for you and your family. - Paid time off (PTO) and paid holidays. - Performance-based bonuses and company equity opportunities. - Fully remote work environment with flexible schedules. - Collaborative and thriving team culture guided by Adoreal’s core values.