Senior Architect, Data & Analytics

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5 hours ago

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Presidio

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Artificial Intelligence • Cybersecurity • Enterprise

Presidio is a global IT solutions and services firm that designs, implements, and manages agile, secure digital platforms to help enterprise customers accelerate digital transformation. Its offerings include cloud migration and modern platforms, managed services, AI and data analytics (including agentic and private AI), cybersecurity, networking, collaboration, and lifecycle/finops and procurement/consumption financing. Presidio serves regulated and enterprise sectors such as healthcare, media & entertainment, finance, public sector and utilities.

1001 - 5000 employees

🤖 Artificial Intelligence

🔒 Cybersecurity

🏢 Enterprise

📋 Description

• Assist in Presales and client problem definition phase of an Azure data engagement. • Work closely with the presales engineers to design the best-in-class Azure data solution and scoping to satisfy client requirements. • Ability to handle multiple client engagements in different stages of the implementation lifecycle. • Provide hands-on guidance, mentoring, and validation for the project teams during the implementation of the client engagement. • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

🎯 Requirements

• Bachelor’s degree or equivalent experience and/or military experience • Over all 10+ years of experience in Data Engineering • 10+ years of advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. • 5+ Strong work experience on AWS Data Analytics stack - EMR, Redshift, Kinesis/managed Kafka, Glue • Demonstrated work experience with handling streaming/time-series data using AWS Kinesis/AWS-managed Kafka • Working experience with Snowflake or Databricks • ETL development experience in SQL, Python, Java/Scala • Implementation experience of self-service data layer using data mesh/ data fabric or other architectures for data sharing and governance • Familiarity with Lakehouse architectures • Experience with other dashboarding solutions like Tableau, Qlik, and/or similar programs is a plus. • Excellent verbal and written communication skills to effectively interact with both technical and executive stakeholders on client engagements.

🏖️ Benefits

• health insurance • Flexible work hours