Stride ยท 1 week ago
Lead Data Engineer
United States
Full-time
Remote
Senior Level, Lead/Staff
6+ years expStride is an AI-Powered software engineering firm focused on delivering real results through elite engineering talent and GenAI tooling. The Lead Data Engineer will design, build, and scale data platforms for analytics and reporting, ensuring reliable and optimized data pipelines while collaborating closely with various stakeholders.
ConsultingProduct ManagementSoftwareWeb DesignWeb Development
Responsibilities
Lead the design, development, and maintenance of scalable data pipelines and ETL/ELT processes
Architect and evolve cloud-based data platforms that support analytics, business intelligence, and machine learning use cases
Ensure data quality, integrity, availability, and consistency across systems
Partner with stakeholders to translate business and analytical needs into robust data solutions
Drive best practices for data modeling, performance optimization, and cost efficiency
Design and manage data solutions using MySQL, MongoDB, and Snowflake
Build batch and event-driven data pipelines leveraging AWS services such as S3, SQS, SES, SSM, MSK, STS, and Rekognition
Optimize data workflows for scalability, reliability, and performance in cloud environments
Partner with platform and DevOps teams to ensure secure, observable, and production-ready data systems
Design and integrate cloud-based services and messaging systems to support distributed architectures
Build and support data integrations and pipelines across relational, NoSQL, and analytics platforms
Ensure applications are secure, observable, and production-ready
Partner with DevOps and platform teams to support deployments, monitoring, and reliability
Serve as a technical leader across data initiatives, guiding architecture and implementation decisions
Mentor Data Engineers through code reviews, design feedback, and knowledge sharing
Collaborate with data scientists and analysts to ensure data is structured, discoverable, and usable
Lead technical discovery and feasibility assessments for new data use cases and client engagements
Contribute to internal data engineering standards, patterns, and documentation
Be a strong team player who is equal parts mentor, coach, enabler, doer, and advisor for our teams and clients
Establish and enforce best practices for data governance, security, privacy, and compliance
Implement testing, validation, and monitoring processes to ensure data accuracy and reliability
Monitor and troubleshoot data pipeline issues to minimize downtime and disruption
Document data models, workflows, and architecture to ensure transparency and knowledge sharing
Identify and implement automation opportunities to streamline data operations
Work directly with client stakeholders to understand data needs, constraints, and priorities
Communicate data architecture decisions, tradeoffs, and risks clearly and effectively
Support analytics demos, reporting reviews, and data-driven decision-making discussions
Act as a trusted data advisor in client-facing environments
Qualification
Required
6+ years of experience as a Data Engineer or in a similar role
Strong expertise in SQL, data modeling, and data warehousing concepts
Experience working with Apache Iceberg
Hands-on experience with MySQL, MongoDB, and Snowflake
Proven experience building and operating data pipelines in AWS-based environments
Experience with ETL/ELT frameworks and orchestration tools such as Airflow or dbt
Strong proficiency in Python for building and maintaining scalable data pipelines, data transformations, and automation across modern cloud and analytics platforms
Strong understanding of data security, privacy, and governance practices
Must be comfortable jumping into unclear data environments/concepts (i.e. roll up sleeves and get messy)
Experience working in Agile delivery environments
Excellent communication skills and comfort working in client-facing roles
Preferred
Experience with real-time or event-driven data processing using Kafka or MSK
Familiarity with machine learning pipelines and analytics enablement
Experience with containerization or orchestration tools such as Docker or Kubernetes
Exposure to data cataloging, lineage, or observability tools
Cloud or data engineering certifications
Company
Stride
Software that exceeds expectations today, Agile best practices to up-skill your team for tomorrow.
51-200 employees
H1B Sponsorship
Stride has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (19)
2024 (10)
2023 (11)
2022 (16)
2021 (15)
Funding
Current Stage
Growth StageLeadership Team
Francisco Martin
CEO
Debbie Madden
Founder | Chairwoman
Company data provided by crunchbase