Senior Synapse Engineer (Remote)

Ness Romania SRL

$90K — $120K *
US-AnywhereRemote in Ontario, CA
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years in data engineering, with at least 3 years focused on Azure Synapse.
  • Proficiency in T-SQL, ETL/ELT pipeline development, and workload optimization.
  • Experience with migrating workflows from Alteryx, SSIS, or Databricks.
  • Knowledge of data formats and structures like Delta Lake, Parquet, and schema evolution.
  • CI/CD tools proficiency in Azure DevOps and Git.

Responsibilities

  • Build and maintain Synapse pipelines and SQL transformations.
  • Translate Alteryx workflows into Synapse's environment using SQL or PySpark.
  • Optimize dedicated SQL pools for performance through partitioning and indexing.
  • Implement continuous integration and delivery pipelines using Azure DevOps.
  • Manage data security configurations, including access roles and auditing.
  • Optimize folder structures and file formats in ADLS Gen2 for efficiency.
  • Monitor Synapse performance, costs, and implement autoscaling solutions.
  • Provide architectural guidance for best practices in platform utilization.

Benefits

  • Remote work flexibility.
  • Opportunities for collaborative teamwork across departments.
  • Access to cutting-edge Azure technologies.
  • Focus on a progressive data engineering environment.
  • Professional growth through challenging projects.
Full Job Description
Description

Job Description / Role Summary

The Senior Synapse Engineer (Remote) builds, optimizes, and maintains the Azure Synapse environment used to replace Alteryx workflows. The role implements pipelines, SQL transformations, orchestration, and security. They work closely with the onsite Data Modeler and Conversion Analyst to ensure end-to-end production-quality execution of migrated workloads.

Key Responsibilities
  • Build Synapse pipelines, SQL transformations, datasets, and linked services.
  • Translate Alteryx logic into Synapse SQL, PySpark, or Data Flows.
  • Tune performance of dedicated SQL pools (partitioning, indexing, caching).
  • Implement CI/CD pipelines in Azure DevOps or GitHub.
  • Configure and manage data security, RLS, access roles, and auditing.
  • Optimize ADLS Gen2 folder structures, file formats, and Delta/Parquet usage.
  • Collaborate with the Data Modeller to ensure accurate implementation of models.
  • Monitor Synapse environments, performance, costs, and autoscaling.
  • Troubleshoot issues across ingestion, transformation, orchestration phases.
  • Provide architectural guidance and platform best practices.

Required Experience
  • 8+ years in data engineering with 3+ years in Azure Synapse.
  • Strong T-SQL, ETL/ELT pipeline development, and workload optimization.
  • Experience migrating Alteryx, SSIS, Databricks, or equivalent ETL systems.
  • Knowledge of Delta Lake, Parquet, partitioning, schema evolution.
  • CI/CD experience in Azure DevOps, Git, environment promotion.

Preferred Skills
  • Experience with retail or loyalty analytics workloads.
  • Familiarity with Azure Purview or similar governance solutions.

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