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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Data Engineering and Architecture, focusing on data modeling, pipeline design, and governance within cloud environments. Proficient in Snowflake, dbt, and MLOps workflows, with strong analytical and collaboration skills.
Highest-signal resume keywords
Data Engineering Tech LeadSnowflake Administration and TuningAdvanced dbt ProficiencyPython for Data PipelinesDataOps and CI/CD Practices
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ModelingData Pipeline DesignAnalytical SQLMLOps WorkflowsAPI IntegrationsELT/ETL ProcessesData GovernanceData Catalog SolutionsData ObservabilityData Lineage Tracking
Soft Skills
MentorshipCollaborationCritical ThinkingCommunication
Tools & Technologies
SnowflakeDbtMatillionApache AirflowPrefectDagsterFivetranGitCI/CD PipelinesAutomated Testing
Industry Keywords
Cloud Data EnvironmentsDataOpsAI ReadinessSemantic ModelsFeature Stores
Tech Stack
Tools & technologiesAirflowApacheCloudETLMatillionPythonSnowflakeSQL
About the role
Key responsibilities & impact- Shape the technical direction, architectural standards, and data governance of the core Data Analytics platform
- Own logical and physical data modeling, warehouse design, and layered curation from staging through intermediate to mart
- Serve as Data Engineering Tech Lead and technical anchor for Analytical Engineers
- Lead end-to-end design and execution of data pipelines, including ingestion, API integrations, custom connectors, ELT/ETL processes, and orchestration
- Modernize the technology stack and elevate software engineering discipline across data pipelines
- Embed DataOps and CI/CD practices, including automated dbt testing, environment isolation, credential management, and data deployment standards
- Build and refine governance; evaluate and implement Data Catalog and Data Observability solutions
- Track data lineage, freshness, completeness, and automated failure alerting
- Tune Snowflake query performance, clustering, and warehouse sizing to optimize execution times and compute spend
- Drive MLOps workflows and AI-readiness initiatives, including semantic layers, data structures, and access patterns for AI agents and automated workflows
- Provide architectural guidance, design reviews, technical mentorship, and constructive challenge
- Evaluate new tools, frameworks, and architecture patterns to modernize and optimize the data stack
- Collaborate with Engineering, Infrastructure, Data Science/ML, and business stakeholders
Requirements
What you’ll need- Proven track record as a Senior Data Engineer, Data Architect, or Tech Lead in cloud data environments
- Exposure to preparing data structures, semantic models, feature stores, and API/access layers for AI agents, machine learning pipelines, and automated LLM workflows
- Deep hands-on expertise administering, tuning, and modeling in Snowflake
- Advanced mastery of dbt, including macros, incremental models, custom tests, packages, and dbt-native CI/CD testing
- Expert analytical SQL skills, including query execution plan tuning, window functions, and CTEs
- Strong Python proficiency for data pipelines, scripting, and MLOps workflows
- Practical experience with ingestion and orchestration engines such as Matillion, Apache Airflow, Prefect, Dagster, and Fivetran
- Experience operating with active Git and CI/CD pipelines, including automated data testing, deployment validation, and secure credential rotation
- Ability to question assumptions, gather business context, form hypotheses, and rigorously evaluate outputs
- Passion for building lightweight MVPs and proofs of concept
- Business-level English fluency
- Ability to articulate complex technical trade-offs, mentor teammates, and collaborate effectively in a remote, globally distributed team
- Applicants must be currently authorized to work in the location where the position is located without requiring visa sponsorship
- Bonus: exposure to Snowflake Cortex, AI Classify, RAG workflows, LLM agents, MCP servers, Sigma, or n8n
Benefits
Comp & perks- Remote First, Remote Always
- PTO in accordance with local labor requirements
- Fully Paid Parental Leave
- Home office stipend based on country of residency
- Professional development courses in Cloudbeds University
- Access to professional development, including manager training, upskilling, and knowledge transfer