Data Architect / Engineer

Appnovation
New York, Austin, Miami, Dallas, São Paulo, Toronto
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 5+ yearsEducation: bachelorsSkills: ["Solution-focused mindset","Strong analytical skills","Problem-solving","High code-quality standards","Cross-team communication"]

Own the data structures and ingestion pipelines behind Appnovation’s graph-RAG platform. Define schemas, taxonomies, and graph models for knowledge domains, and build resilient ETL pipelines from enterprise sources such as SharePoint and the Microsoft stack. Keep the knowledge graph accurate as documents evolve, establish data quality/lineage/governance standards, and advise on long-term backend architecture, while optimizing pipeline cost, reliability, and performance.

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Appnovation
Appnovation
1 day ago

Data Architect / Engineer

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Job Summary

Own the data structures and ingestion pipelines behind Appnovation’s graph-RAG platform. Define schemas, taxonomies, and graph models for knowledge domains, and build resilient ETL pipelines from enterprise sources such as SharePoint and the Microsoft stack. Keep the knowledge graph accurate as documents evolve, establish data quality/lineage/governance standards, and advise on long-term backend architecture, while optimizing pipeline cost, reliability, and performance.
Location: New York, Austin, Miami, Dallas, São Paulo, Toronto
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Define the schema, taxonomy, and graph modeling for knowledge domains.
  • •Design how documents, versions, and machine-readable representations are structured, including temporal replay.
  • •Build ingestion/ETL pipelines from enterprise content sources (e.g., SharePoint and the Microsoft stack), including multimodal content.
  • •Keep the knowledge graph in sync as source documents change and advise on long-term backend architecture (Supabase/Postgres).
  • •Establish data quality, lineage, and governance standards; implement monitoring/alerting/error-handling; document models and optimize pipeline cost, throughput, and reliability.

Key Requirements

  • •Bachelor’s Degree in Computer Science or a related field.
  • •5+ years of experience in data engineering / architecture roles.
  • •Deep data modeling across relational and graph paradigms using graph databases (e.g., Neo4j) and Postgres/Supabase at scale.
  • •Strong ETL/data pipeline engineering in Python for large-scale incremental and change-data ingestion.
  • •SQL proficiency and experience with orchestration tools (e.g., Airflow) and cloud data services.
Experience:5+ years
Education:Bachelor's
Skills:Solution-focused mindsetStrong analytical skillsProblem-solvingHigh code-quality standardsCross-team communication
Languages:English
Tech Stack:PythonSupabasePostgresPostgreSQLNeo4jSQLSharePointPower PlatformPower AutomateAirflowGraph-RAGRAGLLM

Company Brief

Appnovation
Provides digital transformation, design, and engineering services, helping enterprises build customer experiences, digital platforms, and integrations using open-source and cloud technologies across industries.
Industry: Consulting
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Funding: Bootstrapped
Headquarters: Vancouver, Canada
Founded: 2007
WebsiteLinkedIn