[Remote] Senior/Lead Data Engineer

Note: The job is a remote job and is open to candidates in USA. VWO is seeking a Senior/Lead Data Engineer to design and build scalable data products that enhance analytics and reporting. The role involves defining event modeling standards, developing transformation workflows, and contributing to GenAI initiatives.ResponsibilitiesStrong experience building Analytics Data Warehouses (DWH) using dimensional modeling, including SCD (Slowly Changing Dimensions Type 1/2), incremental loading strategies, and star/snowflake schema designDesign and implement scalable event data models that support product analytics and behavioral insightsDevelop and maintain a governed metrics layer (definitions, calculation logic, validation, and documentation)Build and optimize a semantic layer that enables consistent reporting across BI tools and downstream consumersPartner with Sales, Marketing, Support, Product, and Engineering teams to define reliable, reusable datasets and business logicBuild and maintain transformation pipelines using dbt, including: modular models, sources, and documentation; data tests (generic + custom); incremental models and performance tuningEstablish best practices around branching, deployment, and CI/CD for dbt projectsEnsure high data quality through proactive testing, observability, and monitoringImprove dataset reliability and maintainability through naming conventions, contracts, and lineage managementTroubleshoot pipeline issues and resolve data inconsistencies quickly and effectivelySupport integration of data with LLM-based applications (e.g., data narrator, metadata generation, dataset summarization, etc.)Apply a basic understanding of LLM concepts such as embeddings, prompts, vector search, and token limits to guide data designBuild utilities, automation scripts, and data workflows using PythonUse Python for validation frameworks, pipeline tooling, and integration across systemsSkills6+ years of experience in Data Engineering or similar rolesStrong experience in data warehousingStrong experience with event modeling (product events, behavioral data)Proven ability to build and manage a metrics layer and semantic layer for consistent analyticsHands-on expertise with dbt for building production-grade transformation modelsStrong Python skills for data engineering workflows and automationFamiliarity with GenAI concepts and modern AI/data workflowsBasic understanding of LLMs, including how data is used in LLM applicationsStrong SQL skills and experience working with modern data warehouses (Snowflake/BigQuery/Redshift or similar)Excellent communication skills and ability to collaborate with cross-functional stakeholdersExperience building a semantic layer tool (e.g., dbt Semantic Layer, Cube, MetricFlow, etc.)Experience with data orchestration tools (Airflow, Dagster, Prefect)Familiarity with data observability tools (OpenMetaData, Monte Carlo, Datadog, etc.)Experience supporting ML features, embeddings pipelines, or vector databasesExperience working in product analytics ecosystems (Segment, Mixpanel, etc.)Company OverviewVWO enables growing businesses to conduct visitor research, run experiments, personalize experiences, and re-engage it. It is a sub-organization of Wingify. It was founded in 2009, and is headquartered in New Delhi, Delhi, IND, with a workforce of 201-500 employees. Its website is https://vwo.com/.