Note: The job is a remote job and is open to candidates in USA. Conexess Group is recruiting for a confidential client seeking a Senior Manager, Data Engineering to lead a high-performing team building and scaling modern data platforms and analytics infrastructure. The role combines people leadership, technical strategy, data architecture, roadmap ownership, and cross-functional collaboration to deliver reliable, scalable, and cost-efficient data solutions.
Responsibilities
- Lead, mentor, and develop a team of talented data engineers
- Foster a culture of technical excellence, ownership, collaboration, and continuous learning
- Manage performance, career growth, and team development initiatives
- Oversee on-call processes and improve operational efficiency through automation and self-service solutions
- Define and execute the vision for scalable, secure, and high-performing data platforms
- Drive architecture decisions for data lakehouse environments, data modeling standards, governance, and access controls
- Optimize data platform performance, reliability, and cost efficiency
- Establish and promote engineering best practices including CI/CD, testing, code reviews, monitoring, and incident response
- Champion strong technical documentation and knowledge-sharing practices
- Own the team's roadmap and strategic priorities
- Lead capacity planning, project execution, and resource allocation
- Remove delivery obstacles, identify risks proactively, and ensure successful project outcomes
- Align engineering initiatives with broader business objectives
- Collaborate closely with Product, Engineering, Analytics, and business stakeholders
- Translate business requirements into scalable data solutions
- Communicate progress, challenges, and key performance indicators to senior leadership
- Drive alignment across teams while supporting organizational goals and priorities
- Support hiring efforts by defining role requirements, interviewing candidates, and building a strong engineering organization
Skills
- Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
- 7+ years of experience building and scaling engineering teams and delivering high-quality data solutions
- 3+ years of direct people management experience
- Proven experience managing large-scale production data pipelines
- Strong experience with Apache Airflow and data orchestration best practices
- Deep expertise with Snowflake or comparable cloud data warehouse technologies such as Redshift or BigQuery
- Advanced SQL skills and proficiency in Python or another scripting language
- Experience collaborating with cross-functional stakeholders and business leaders
- Strong understanding of data governance, data quality, lineage, and operational excellence
- Experience working within regulated or compliance-sensitive environments
- Experience with modern data stack technologies such as dbt, Fivetran, Airbyte, Kafka, or similar platforms
- Experience driving cloud-based data transformation initiatives
- Strong strategic thinking and organizational leadership skills
Benefits
- 100% remote work in the United States
Company Overview
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