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Azure Data Engineer/Architect

SSTech LLCWashington, DC🇺🇸United StatesPosted Oct 6, 2026

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
Washington, DC, United States
Posted
17 hours ago
OraclePL/SQLSQLSQL ServerScalaETLAzureDatabricksPython

Job Description

Hi,

We do have an urgent requirement for the below position with our direct client, Please submit Resume, Rate and Contact details.

Job Title: Azure Data Engineer/Architect
Duration: Long Term
Location: Washington, DC (Hybrid/Onsite: 4 days per week from Day 1, with a full transition to 100% onsite)
Job Details:
  • Overall professional experience of 15+ years, with strong focus on enterprise data migration, system modernization, and integration initiatives.
  • 8 – 10 years of experience in Data Modeling, Data/ Information Architecture, Metadata Management, Master Data management, Data Governance & Data Quality.
  • Expertise on Azure platforms including Azure Databricks, ADLS, and its various components.
  • In-depth knowledge and hands-on experience in Microsoft Azure data stack i.e., Azure Data Factory, Azure SQL Database, Azure Functions, Logic apps, Spark and Python programming etc.
  • Expertise on Azure platforms including Azure Databricks and its various components, including Delta Lake.
  • Strong understanding of data architecture and data management principles.
  • In-depth Knowledge on designing ETL Pipelines for Batch and Real time in Azure data factory and Azure datafactory.
  • Hands on experience on Function apps , Event Hubs, Web apps, API M.
  • Good have to experience on Migration to Salesforce
  • Strong experience with designing ETL/ELT Pipelines/Data flows using Azure Data Factory as Primary skill and SSIS/Informatica as additional skills.
  • Proficiency in programming languages such as Python, SQL, Spark notebooks and Scala.
  • Must have strong development & design skills in leading RDBMS environments e.g. MS SQL Server and Oracle 10g.
  • Experience of Big data approach, architectural concepts, data sourcing/ ingestion/ curation and storage mechanisms.
  • Experience with real-time / near-real-time Data warehousing concepts and Design approaches.
  • Deep understanding of Oracle PL/SQL logic and database behavior, with demonstrated ability to analyze and reverse‑engineer complex legacy implementations.

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