Azure Data Engineering Architect

3 weeks ago

Hyderabad, India Sutherland Full time

Company Description
Sutherland is seeking an attentive and goal-oriented person to join us as a Associate Manager - Oracle Cloud SCM Presales & Solutions. We are a group of driven and hard-working individuals. If you are looking to build a fulfilling career and are confident you have the skills and experience to help us succeed, we want to work with you

Job Description
Position Summary

Lead the Azure pillar within the Data Engineering CoE, establishing technical standards, best practices, and

reusable accelerators for Azure data platform implementations. This role will directly support high-value

opportunities in our pipeline

Key Responsibilities

Develop architecture patterns and implementation accelerators for Azure data platforms

Establish best practices for Azure Synapse, Data Factory, Azure Databricks, and other Azure data

services

Support pre-sales activities for Azure-based opportunities, particularly AIMajodouie and Anthology

Design migration pathways from legacy systems to Azure

Create technical documentation and playbooks for Azure implementations

Mentor junior team members on Azure best practices

Work with cloud-agnostic platforms (Databricks, Snowflake) in Azure environments

Collaborate with other pillar architects on cross-platform solutions

Build customer relationships as a trusted technical advisor for Azure implementations

Qualifications
10+ years of data engineering experience with 5+ years focused on Azure

Deep expertise in Azure Synapse Analytics, Azure Data Factory, and Azure Databricks

Experience with Azure data lake implementations (ADLS Gen2)

Strong knowledge of data integration patterns and ETL/ELT frameworks

Experience with migration from legacy systems to Azure

Microsoft certified Azure Data Engineer Associate or higher

Experience developing reusable templates and accelerators

Strong coding skills in Python, Spark, and SQL

Experience with Azure DevOps, ARM templates, or other infrastructure as code approaches

Excellent Communication Skills And Client-facing Experience
Technical Stack:

Azure Core Services: Azure Synapse Analytics, Azure Data Factory, Azure Data Lake Storage Gen2

Data Warehouse: Azure Synapse Analytics, Azure SQL Database

Data Processing: Azure Databricks, Synapse Spark, Azure HDInsight

ETL/ELT: Azure Data Factory, Synapse Pipelines, Azure Databricks notebooks

Orchestration: Azure Data Factory, Logic Apps

Streaming: Event Hubs, Stream Analytics

ML Integration: Azure Machine Learning, Azure Databricks ML

Languages: Python, SQL, Scala, .NET

DevOps: Azure DevOps, GitHub Actions

Infrastructure as Code: Bicep, ARM Templates, Terraform

Monitoring: Azure Monitor, Application Insights

Certifications: Microsoft Certified: Azure Data Engineer Associate, Azure Solutions Architect

Additional Information
Impact Expectations

Create 2-3 Azure accelerators for common implementation patterns in the first 90 days

Develop technical proposal components for Azure-based opportunities

Establish Azure architecture frameworks aligned with Microsoft best practices

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