Senior Data Engineer – Data & AI

🕒 October 1

🤠 Texas – Remote

🤠 Texas – Remote

💵 $155k - $175k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 2%

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TTEC Digital

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

📣 Marketing

🤖 Artificial Intelligence

Consulting • Marketing • Artificial Intelligence

TTEC Digital is a leader in customer experience transformation, combining technology and human empathy to enhance customer interactions. With a focus on artificial intelligence, contact center technology, and customer relationship management, TTEC Digital delivers tailored solutions for mid-market digital transformation. Their comprehensive offerings include data analytics, CX strategy and design, and managed services that optimize customer engagements across various industries.

📋 Description

• Lead the design and build of end-to-end data platforms spanning ingestion, cleaning, preparation, transformation, analytics, and activation. • Architect Medallion (Bronze, Silver, Gold) lakehouse patterns using OneLake/Delta Lake. • Own data modeling for client engagements across dimensional, normalized, and semantic layers. • Design batch and streaming ingestion patterns using Fabric Data Factory/pipelines, Azure Databricks Structured Streaming, and event-driven architectures such as Event Hubs. • Identify and resolve architectural risk and technical debt; optimize pipelines for performance and cost. • Design and build APIs and data services for governed data activation. • Design MCP and API-based integrations connecting business systems, Data Agents, and agentic AI interfaces. • Partner with AI and Architecture teams to expose enterprise data to Data Agents and Generative AI applications. • Implement data governance patterns using Microsoft Purview and/or Unity Catalog. • Support production operations and incident response for critical pipelines and activation services. • Mentor Data Engineers and provide technical direction through code, model, and design reviews. • Advise client stakeholders on architecture trade-offs and design decisions. • Contribute to reusable frameworks, accelerators, and engineering standards. • Support presales activities, including estimates, proposals, and solution design. • Evaluate new Fabric and Azure Databricks capabilities for client platforms.

🎯 Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or a related technical discipline. • 5-8 years of experience in data engineering, with strong ownership of production data pipelines on Azure. • Expert-level proficiency in Python, SQL, and PySpark for building distributed data pipelines at scale. • Deep hands-on experience with the Microsoft Azure Data & AI stack (Azure Data Factory, Microsoft Fabric, Synapse, ADLS Gen2) and/or Azure Databricks, including Delta Lake/OneLake and Medallion architecture patterns. • Strong background in data modeling, schema design, and enterprise data architecture across the full lifecycle from ingestion to activation. • Experience designing APIs and MCP-based integrations that exchange data with front-line systems, Data Agents, and other agentic AI interfaces. • Experience with orchestration and CI/CD (Fabric pipelines, Azure Data Factory, Databricks Workflows, Azure DevOps). • Strong knowledge of data governance and security tooling, including Microsoft Purview and/or Unity Catalog. • Demonstrated ability to mentor engineers and lead technical design discussions on client-facing engagements. • Strong problem-solving skills and ability to troubleshoot complex, large-scale data issues independently. • Excellent communication skills, with the ability to explain technical trade-offs to both technical and client audiences. • Relevant Microsoft certifications (e.g., Azure Data Engineer Associate, Fabric Analytics Engineer Associate) and/or Databricks certifications preferred.