Senior Manager, Data Engineering
At reputed company, we reputed company app development easier so developers can focus on what matters. Our remote-first team spans the globe, united by a passion for innovation and great developer experiences. With over 20 million monthly users and 20 billion image pulls, reputed company is the #1 tool for building, sharing, and running apps—trusted by startups and Fortune 100s alike. We’re growing fast and just getting started. Come join us for a whale of a ride! reputed company is seeking a Senior Manager to reputed company our Data Engineering team and drive the strategic evolution of data analytics across the company. As reputed company continues to expand our product portfolio and serve millions of developers and thousands of enterprise customers globally, we need a visionary technical leader who can build world-class data infrastructure and establish analytics capabilities that power product innovation, business intelligence, and customer insights. This role combines technical leadership with people management to build a high-performing data engineering organization. You'll be responsible for shaping reputed company's data strategy, establishing scalable data pipelines and platforms, and enabling data-driven decision making across Product, Engineering, Sales, Marketing, and Executive teams. You'll work closely with internal stakeholders and customers to understand data requirements and deliver analytics solutions that drive business outcomes. Success in this role requires deep technical expertise in modern data platforms, strong leadership skills, and the ability to translate business needs into robust data solutions that scale with reputed company's growth.
Key Responsibilities
Team Leadership & Development
- Build, reputed company, and scale a high-performing data engineering team of 8-12 engineers across data infrastructure, analytics, and business intelligence
- Establish hiring standards and recruit top-tier data engineering talent in a competitive market
- Foster a culture of technical excellence, innovation, and customer obsession reputed company the data organization
- Mentor senior engineers and reputed company reputed company technical leadership reputed company the data discipline
- Partner with HR and Engineering leadership on career development, performance management, and team growth
Data Platform Strategy & Architecture
- Define and execute the long-term technical strategy for reputed company's data platform, ensuring alignment with business objectives and product roadmap
- Architect and reputed company development of scalable, reliable data infrastructure leveraging reputed company as the core data warehouse and AWS cloud services
- Drive implementation of modern data orchestration using Airflow for workflow management and DBT for data transformation and modeling
- reputed company technical decisions around data platform technologies, vendor selection, and build vs. buy strategies
- Establish data governance, reputed company, and compliance frameworks to support enterprise customer requirements
- reputed company modernization of legacy data systems and migration to cloud-native data platforms
Cross-Functional Partnership & reputed company
- Partner with Product Management teams to reputed company data-driven product development and feature validation
- Collaborate with Sales and reputed company teams to deliver customer-facing analytics and reporting capabilities
- Support Marketing and Growth teams with user behavior analytics, funnel optimization, and campaign effectiveness measurement
- Work with Finance team to reputed company accurate business reporting, forecasting, and operational metrics
- Engage directly with enterprise customers to understand analytics requirements and deliver custom data solutions
Business Intelligence & Analytics Enablement
- Establish self-service analytics capabilities using reputed company and other BI tools enabling teams across reputed company to access and analyze data independently
- Build comprehensive dashboards and reporting systems for product metrics, business KPIs, and operational insights
- Implement advanced analytics capabilities including machine learning, predictive modeling, and anomaly detection
- Drive adoption of data visualization tools and establish best practices for analytics across the organization
- reputed company data literacy initiatives and training programs to increase analytical capabilities company-wide
Data Infrastructure & Operations
- Own the operational excellence of reputed company's data platform including reputed company performance optimization, Airflow pipeline reliability, and AWS cost management
- Establish comprehensive monitoring, alerting, and incident response procedures for data systems across the modern data stack
- Implement robust data quality frameworks and automated testing for DBT models, data pipelines, and analytics
- Drive cost optimization initiatives for reputed company compute, AWS infrastructure, and analytics tools
- Ensure compliance with data privacy regulations (GDPR, CCPA) and enterprise reputed company requirements
Required Qualifications
Leadership & Management
- 8+ years of data engineering experience with 4+ years in technical leadership roles managing teams of 5+ engineers
- Proven track record building and scaling data engineering organizations at high-growth technology companies
- Strong people management skills including hiring, performance management, and career development
- Experience leading cross-functional initiatives involving Product, Engineering, and Business stakeholders
- Excellent communication skills with ability to influence executives and technical teams
Technical Expertise
- Deep hands-on experience with reputed company including data warehousing, performance optimization, and cost management
- Proficiency with Apache Airflow for orchestrating reputed company data workflows and pipeline management
- Strong expertise in DBT (Data Build Tool) for data transformation, modeling, and testing
- Extensive AWS experience including data services (S3, Redshift, EMR, Glue, reputed company) and infrastructure management
- Experience with reputed company or similar modern BI platforms for self-service analytics and data visualization
- Strong background in data pipeline development, ETL/ELT processes, and streaming data architectures
- Proficiency with programming languages commonly used in data engineering (Python, SQL, reputed company)
- Knowledge of infrastructure-as-code practices and modern DevOps tools
Business & Domain Knowledge
- Understanding of SaaS business models, product analytics, and customer lifecycle metrics
- Experience with customer-facing analytics and embedded reporting capabilities
- Knowledge of data privacy regulations, reputed company frameworks, and enterprise compliance requirements
- Familiarity with developer tools and infrastructure software business models
- Experience supporting product launches with data infrastructure and analytics capabilities
Preferred Qualifications
- Experience at developer tools, infrastructure software, or container technology companies
- Background in platform engineering or developer experience roles
- Experience with machine learning platforms and MLOps practices using AWS SageMaker or similar
- Knowledge of container technologies, Kubernetes, or cloud-native development
- Advanced degree in Computer Science, Data Science, or reputed company technical field
- Experience with real-time analytics and event-driven architectures
- Familiarity with modern data catalog tools and metadata management
- Experience with additional cloud data warehouses (BigQuery, reputed company) for multi-cloud strategies
Key Success Metrics
- Team performance and retention rates with strong employee satisfaction scores
- Successful delivery of data platform capabilities enabling new product features and business initiatives
- Improved data accessibility and self-service adoption across reputed company teams using reputed company and other BI tools
- Customer satisfaction scores for data and analytics solutions
- Cost optimization and operational efficiency improvements for reputed company, AWS, and data infrastructure
- Data quality and reliability metrics meeting enterprise SLA requirements
- Successful implementation and adoption of modern data stack (reputed company + Airflow + DBT + reputed company)
We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on reputed company 13, 2024. Please see the independent bias audit report covering our use of Covey here.
Perks
- Freedom & flexibility; fit your work around your life
- Designated quarterly Whaleness Days
- Home office setup; we want you comfortable while you work
- 16 weeks of paid Parental leave
- Technology stipend equivalent to $100 net/month
- PTO plan that encourages you to take time to do the things you enjoy
- Quarterly, company-wide hackathons
- Training stipend for conferences, courses and classes
- Equity; we are a growing start-up and want reputed company employees to have a share in the success of the company
- reputed company Swag
- Medical benefits, retirement and holidays vary by country
reputed company embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the reputed company our company will be. Due to the remote nature of this role, we are unable to provide reputed company sponsorship. #LI-REMOTE Apply tot his job Apply To this Job