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Infogain
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AWS Data Architect

AWS Data Architect

Infogain

12 - 16 years

0 Lacs

maharashtra

Posted:12 hours ago| Platform: Shine logo

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Skills Required

data engineering python sql azure databricks pyspark delta lake unity catalog azure data factory adls gen2 azure sql db synapse analytics

Work Mode

On-site

Job Type

Full Time

Job Description

As a highly skilled Azure Data Architect with over 12 years of professional experience in data engineering, your role involves end-to-end ownership of data engineering activities to deliver scalable and secure data solutions for advanced analytics and reporting. You will collaborate with business stakeholders, analysts, and architects to gather requirements and design technical solutions. Your responsibilities include: - Collaborating with business stakeholders to gather, analyze, and translate requirements into technical data engineering solutions. - Designing, developing, and maintaining data pipelines and ETL/ELT processes using Azure Data Factory, Databricks (PySpark, Delta Lake), and Synapse Analytics. - Implementing and managing data governance and security frameworks using Unity Catalog for cataloging, lineage, and access control. - Developing data models for curated, semantic, and analytical layers to support BI/AI/ML workloads. - Optimizing data pipelines for scalability, performance, and cost-efficiency. - Ensuring data quality, validation, and monitoring across ingestion and transformation layers. - Integrating multiple Azure services: ADLS Gen2, Azure Data Factory, Azure Synapse, Azure SQL, Event Hub/IoT Hub. - Supporting data migration initiatives from on-premises to Azure cloud. - Collaborating with Data Architects and Analysts on solution design and reporting requirements. - Contributing to Agile ceremonies (sprint planning, stand-ups, retrospectives) and maintaining Jira/ADO work tracking. - Mentoring junior data engineers on best practices and coding standards. Required Skills & Experience: - 12+ years of professional experience in data engineering. - Strong hands-on experience with Azure Databricks (PySpark, Delta Lake, Unity Catalog). - Proficiency in Azure Data Factory, ADLS Gen2, Azure SQL DB, Synapse Analytics. - Strong programming skills in Python, PySpark, and SQL. - Experience in requirement gathering and stakeholder collaboration. - Good understanding of data modeling, lakehouse concepts, and data warehousing (Kimball/Star Schema). - Familiarity with CI/CD pipelines, Git-based version control, and DevOps practices. - Knowledge of security, compliance, and access management in Azure environments. Preferred Skills: - Azure certifications: Azure Data Engineer Associate (DP-203) or Azure Solutions Architect Expert or Data Bricks Professional / Associate Certification. - Experience with streaming data pipelines using Event Hubs or Kafka. - Exposure to Power BI integration with Azure data platforms. - Knowledge of Terraform/ARM templates for IaC. Education: - Bachelors or Masters degree in Computer Science, Data Engineering, or related field. Soft Skills: - Strong analytical and problem-solving mindset. - Excellent communication and requirement elicitation skills. - Ability to work independently and mentor team members. - Strong collaboration with business and technical stakeholders. Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. They engineer business outcomes for Fortune 500 companies and digital natives in various industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. Infogain is also a Microsoft Gold Partner and Azure Expert Managed Services Provider (MSP).,

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AWS Data Architect