IT AI&S Senior Data Engineer

SOCOTEC•Dallas, TX

About The Position

SOCOTEC is a provider of niche consulting services within the architecture, engineering, and construction industries, specializing in high-performance buildings and specialty structures. They offer an integrated approach to solutions for building envelope, energy efficiency, sustainability, code advisory, and construction advisory projects. SOCOTEC has been certified as a Great Place to Work. As a Senior Data Engineer, you will be responsible for designing and building scalable data systems that power SOCOTEC’s digital platforms and enterprise analytics. This role is key in architecting the modern data stack, ensuring reliable ingestion, transformation, and modeling of data across multiple enterprise systems. The position requires strong experience in Databricks, distributed data processing, and enterprise data architecture, along with the ability to lead large data initiatives and collaborate with engineering and business teams. You will work closely with software engineers and platform teams to ensure the data ecosystem is reliable, scalable, and optimized for both operational systems and advanced analytics. This role is part of a growing technology group focused on building advanced platforms for the built environment, including AI-powered compliance systems, intelligent inspection workflows, enterprise analytics platforms, and large-scale data infrastructure, aiming to transform how data and expertise flow across the built environment.

Requirements

3-6 years with hands on experience with Databricks
Experience designing and owning large enterprise data projects
Strong hands-on experience with Apache Spark and Delta Lake
Experience building enterprise-scale ETL/ELT pipelines
Experience working in enterprise environments with complex data systems
Strong SQL and Python skills
Data modeling
Cloud data platforms (AWS / Azure)
Data architecture and distributed systems
Ability to design systems that scale across multiple business units and data sources
Passion for building reliable data infrastructure that enables analytics and AI

Nice To Haves

Experience building Master Data Management (MDM) systems
Experience with modern cloud data stacks (AWS, Azure, or GCP)
Experience integrating data from ERP systems such as Deltek, SAP, or Oracle
Experience with data governance, data lineage, and metadata management
Familiarity with lakehouse architectures and modern data platforms

Responsibilities

Build SOCOTEC’s Enterprise Data Platform
Design and implement scalable data pipelines that ingest and transform data from enterprise systems such such as ERP, CRM, and operational databases.
Develop and maintain data pipelines in Databricks using Spark and Delta Lake.
Build and maintain data models that support analytics, AI applications, and operational systems.
Lead Master Data Management (MDM) Initiatives
Architect and implement SOCOTEC’s custom MDM platform using Databricks.
Design data models that establish consistent “golden records” across multiple enterprise systems.
Implement data governance, lineage, and quality frameworks.
Design Enterprise-Scale Data Pipelines
Build reliable ingestion pipelines for large-scale structured and semi-structured data.
Implement batch and near-real-time data processing pipelines.
Optimize large-scale data processing jobs for performance and cost efficiency.
Enable Data for AI and Advanced Analytics
Partner with AI and software engineering teams to deliver high-quality datasets for machine learning and AI applications.
Build data pipelines that support SOCOTEC’s digital products, analytics dashboards, and operational platforms.
Drive Data Architecture and Best Practices
Define standards for data modeling, pipeline design, and data quality.
Implement monitoring, observability, and alerting data systems.
Ensure scalability, reliability, and security across the data platform.