Senior Data Engineer, Architect

🔥 19 hours ago

🤠 Texas – Remote

🤠 Texas – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Presidio

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🤖 Artificial Intelligence

🔒 Cybersecurity

🏢 Enterprise

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.

📋 Description

• Design, build, and maintain scalable data pipelines and workflows across modern cloud data platforms—Snowflake, Databricks, Microsoft Fabric, or equivalent • Implement ELT/ETL processes with a focus on data quality, performance, reliability, and maintainability • Assemble and transform large, complex datasets that meet both functional and non-functional business requirements • Build and optimize data models to support analytics, reporting, and AI/ML use cases • Work across cloud environments (AWS, Azure, GCP) and their native data services • Contribute to solution design discussions alongside architects; bring engineering-level perspective on feasibility, complexity, and implementation trade-offs • Help define data pipeline patterns, platform configurations, and engineering standards within the engagement • Identify opportunities to improve data infrastructure: automate manual processes, improve data delivery, redesign for greater scalability and performance • Build analytics tools and data products that surface actionable insights for clients across key business metrics • Support integration with BI and visualization tools (Power BI, Tableau, Looker, Qlik, or similar) • Ensure data products are well-documented, governed, and ready for downstream consumption • Participate in client discovery and requirements-gathering sessions; contribute an engineering-level perspective on feasibility, complexity, and implementation approach • Support pre-sales and scoping activities alongside Architects and Pre-Sales teams—help validate that proposed solutions are technically achievable before commitments are made • Engage directly with client technical teams throughout the engagement lifecycle; build credibility through engineering quality and clear communication • Work effectively across multiple client engagements at different stages of the implementation lifecycle • Collaborate with architects, solution owners, and client technical teams to deliver against agreed outcomes • Mentor junior data engineers; share knowledge and raise the engineering quality of the teams you work with • Communicate technical progress, blockers, and decisions clearly to both technical and non-technical stakeholders.

🎯 Requirements

• Bachelor's Degree or equivalent experience and/or military experience • 5+ years in data engineering or cloud data platform development roles • 6+ years of advanced SQL knowledge across multiple database environments and data modeling patterns • Hands-on experience developing on modern cloud data platforms—Snowflake, Databricks, or equivalent; production-grade implementation experience, not just familiarity • Experience with cloud data stacks on AWS, Azure, and/or GCP (e.g., EMR, Redshift, Glue, Kinesis/Kafka, Azure Data Factory, Synapse, BigQuery, Dataproc) • Strong experience building data pipelines on Spark; proficiency in Python and/or Scala • Experience with data pipeline orchestration tools (Airflow, dbt, or similar) • Familiarity with lakehouse architectures, data mesh/fabric patterns, and modern data modeling approaches • Exposure to AI-ready data engineering—building pipelines and data foundations that support GenAI, Agentic AI, and ML workloads • Solid communication skills; ability to work with both technical teams and business stakeholders across client engagements.

🏖️ Benefits

• Health insurance • 401k matching • Paid time off • Flexible working hours • Professional development opportunities