Accenture · 1 day ago
Data & AI Azure Data Services SQL Server Data Consultant
Accenture is a leading global professional services company, and they are seeking a skilled Data Engineer with deep expertise in Microsoft Azure Data Services and SQL Server. The role involves designing, building, and optimizing modern data pipelines and platforms to enable organizations to effectively manage their data at scale.
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Responsibilities
Design, build, and maintain scalable data pipelines and ETL/ELT processes using Azure Data Factory, Azure Databricks, or Synapse Pipelines
Develop and optimize robust relational data models, stored procedures, and SQL workloads in SQL Server and Azure SQL Database
Architect and implement data solutions leveraging Azure Data Lake Storage (ADLS), Azure Synapse Analytics, and other Azure-native services
Ensure data quality, governance, security, and reliability through best practices in monitoring, validation, version control, and metadata management
Collaborate with analytics, reporting, and business teams to ensure data structures and pipelines support accurate, consistent, and accessible insights
Troubleshoot performance issues and optimize database operations, queries, and compute configurations for efficiency and scale
Document data architectures, pipelines, and processes, and provide knowledge transfer to engineering and analytics teams
Qualification
Required
A minimum of 3 years of professional experience as a Data Engineer or in a data-focused engineering role with strong hands-on experience with Azure Data Services, such as: Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake Storage
A minimum of 3 years of professional experience with Advanced Microsoft SQL Server and T-SQL, including performance tuning, indexing, and stored procedure development
Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate Degree, must have minimum 6 years work experience)
Preferred
Experience with Azure DevOps, CI/CD pipelines, Infrastructure-as-Code (ARM, Bicep, Terraform), or automated deployment of data assets
Familiarity with big-data or distributed compute frameworks (e.g., Spark via Azure Databricks)
Exposure to real-time or streaming architectures using Azure Event Hubs or Azure Stream Analytics
Experience integrating Azure data solutions with BI platforms such as Power BI for analytics consumption
Ability to automate data workflows using Python, PySpark, or PowerShell
Ability to design and implement scalable ETL/ELT architectures following modern cloud data engineering patterns
Strong understanding of data modeling (dimensional and relational), data warehousing concepts, and schema design
Knowledge of data security, access control, and governance within Azure environments
Company
Accenture
Accenture is a professional services company that provides solutions in strategy, consulting, digital, technology and operations.
Funding
Current Stage
Public CompanyTotal Funding
$6MKey Investors
Youth Business International
2018-10-01Grant· $6M
2001-07-27IPO
Leadership Team
Recent News
2026-01-07
2026-01-07
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