9 data lakehouse engineer jobs at 7 companies in Newfane, NY
1mo
Save
Mark Applied
Hide
Senior Data Engineer
Toronto, Ontario, Canada
$110k/yr OnsiteFull Time
5+ YOE5+ years in data engineering or related field; strong Python and SQL production experience; cloud-native lakehouse and Delta Lake familiarity; data modeling, ETL/ELT, governance, observability, and mentoring skills.
Python, SQL, Delta Lake, Unity Catalog, CI/CD
2mo
Save
Mark Applied
Hide
Engineering Manager – Data Platform, Lakehouse Foundation
Toronto, Ontario, Canada
$172k-$215k/yr HybridFull Time
3+ YOE3+ Mgmt3+ years as an engineering manager, experience leading data infrastructure/platform teams, hands-on technical background with lakehouse architectures and table formats, strong cross-org partnership and people development skills.
Databricks, Snowflake, Delta, Iceberg, Hudi, Unity Catalog
1mo
Save
Mark Applied
Hide
Senior Lead Data & AI Engineer
Toronto, Ontario, Canada
HybridFull Time
9+ YOERequires 9–12+ years in data engineering, AI deployment in Databricks and AWS, AI agent orchestration, AWS AI/ML services, lakehouse architecture, Unity Catalog, and scalable data workflows.
Databricks, AWS, Delta Live Tables, Lakeflow, Databricks Workflows, RAG, Graph RAG, MCP, AgentOps, AgentBricks, LangGraph, SageMaker, Bedrock, Unity Catalog, AWS Glue, MWAA, Step Functions
2mo
Save
Mark Applied
Hide
Senior Lead Data & AI Engineer
Toronto or Malvern
HybridFull Time
9+ YOE9+ years data engineering experience with Databricks and AWS; hands-on AI agent deployment (RAG, graph RAG, AgentOps); expertise in lakehouse architecture, Delta Live Tables, Unity Catalog, and orchestration tools.
Databricks, Delta Live Tables, Lakeflow, Databricks Workflows, Agentic systems, AgentOps, Agent-bricks, RAG, Graph RAG, MCP, LangGraph, SageMaker, Bedrock, Unity Catalog, AWS Glue, MWAA, Step Functions, AWS
4d
Save
Mark Applied
Hide
Director Data Architecture
Toronto, Ontario, Canada
$181k-$298k/yr OnsiteFull Time
12+ YOEBachelor's degree in a quantitative or related field; 12–15+ years in data architecture, engineering, or related roles; enterprise modernization, migration, cloud platforms, AI, and leadership expertise.
GCP, ETL, ELT, APIs, Generative AI, LLMs, Agentic AI, feature stores, vector stores, AI/ML, lakehouse, data mesh, semantic layer, streaming, distributed architectures, MDM
4d
Save
Mark Applied
Hide
Head of Data Infrastructure
San Francisco or Toronto
HybridFull Time
Hands-on leadership experience in distributed systems, query engines, or cloud data platforms, with production Python, SQL, Terraform or Pulumi, and expertise in lakehouse, warehouse, streaming, and CDC architectures.
Python, SQL, Terraform, Pulumi, Iceberg, Delta, Parquet, Snowflake, Databricks, Kafka, Kinesis, Flink, AWS, Azure, KMS, IAM, dbt, Spark, Stripe, Salesforce
3w
Save
Mark Applied
Hide
Domain Data Architect
Toronto, Ontario, Canada
RemoteFull Time
8+ YOE8+ years in data architecture with investment/asset management domain experience, canonical domain modeling, stakeholder facilitation, and lakehouse platform familiarity.
Databricks, Delta Lake, Unity Catalog, Power BI, Microsoft Excel, Aladdin, SimCorp Dimension, Bloomberg AIM, Eagle, Charles River, Calypso
1mo
Save
Mark Applied
Hide
Senior Staff Machine Learning Platform Engineer
Kitchener-Waterloo or Toronto
$248k-$341k/yr HybridFull Time
10+ YOE10+ years building large-scale ML/data platforms; deep Databricks lakehouse and distributed systems expertise; experience with ML lifecycle, governance, and ML infra; strong technical leadership.
Python, SQL, Kotlin, PyTorch, PySpark, MLFlow, Spark, Kafka, Databricks, Snowflake, Fivetran, Iceberg, Unity Catalog, Datadog, Airflow, Cockroach DB, MySQL, AWS, S3, SageMaker, Kubernetes, Docker, GitHub Actions, Terraform, Claude Sonnet 4.5, ChatGPT 5.2
1mo
Save
Mark Applied
Hide
Senior Staff Machine Learning Platform Engineer
San Francisco or Waterloo or Toronto
$295k-$406k/yr HybridFull Time
10+ YOE10+ years building large-scale ML/data platforms; expertise with Databricks lakehouse, Unity Catalog, Spark, MLflow; strong distributed systems, cloud, and ML infrastructure experience; graduate-level degree preferred.
Python, SQL, Kotlin, PyTorch, PySpark, MLFlow, Spark, Kafka, Databricks, Snowflake, Fivetran, Iceberg, Unity Catalog, Datadog, Airflow, Cockroach DB, MySQL, AWS, S3, SageMaker, Kubernetes, Docker, GitHub Actions, Terraform, Claude Sonnet 4.5, ChatGPT 5.2