Top Senior Level Data Engineer Jobs in Dallas, TX
The Enterprise Data Architect is responsible for designing and implementing data architecture and integration solutions for enterprise data warehouses, focusing on analytics and data quality. They lead the development and deployment of complex data solutions and assist developers and analysts, ensuring adherence to best practices and governance in data management.
As a Lead Oracle CPQ Developer/Analyst, you will architect and implement CPQ solutions, enhance sales processes, and collaborate with cross-functional teams. Responsibilities include designing configurations, integrating with Salesforce and ERP systems, and mentoring junior team members. You will ensure stable and efficient CPQ environments and support Continuous Improvement Projects.
The PostgreSQL DBA is responsible for managing and optimizing PostgreSQL databases, ensuring high availability, performance, and security. Key responsibilities include implementing backup strategies, performance tuning of SQL queries, and handling database upgrade, patching, migration, and recovery tasks. Strong analytical and communication skills are required to collaborate effectively with team members and provide technical guidance to customers.
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The GCP Data Engineer will design, develop, and implement data solutions primarily utilizing BigQuery and GCP services, manage data pipelines, oversee data engineering projects, and collaborate with stakeholders to ensure data quality. Experience in SQL, Python, and ETL processes is essential.
The Technology Partner is a leadership role focused on providing technology expertise in Data and Insights solutions, engaging with clients for transformative initiatives, creating technology solutions, overseeing engineering talent, and enhancing data management practices. The role combines strategic advisory, mentoring, and pre-sales responsibilities to drive business value through advanced analytics.
The Enterprise Data Architect will design and implement scalable data architectures, maintain governance frameworks, oversee data engineering practices, and integrate AI/ML technologies. Responsibilities include optimizing data systems and collaborating with teams to enhance data-driven decision-making and compliance with regulations.
The Database Administrator, Technical Lead at Freddie Mac will be responsible for 24x7 administration and support of database platforms, including performance analysis, automation of tasks, and cross-team collaboration for enterprise projects. The role requires strong database expertise, leadership in operations, and effective communication with clients.
As a Data + Automation Leader at Gensler, you will lead and innovate digital processes and technology solutions globally. You will focus on data-driven design, automation, and computational workflows, collaborating with teams to enhance project delivery and drive cultural change within the firm.
As a Lead Data Engineer at Likewize, you will design and maintain a data platform that enables data-driven decision-making across the organization. Your responsibilities include leading data strategy, developing data pipelines, overseeing system performance, and collaborating with cross-functional teams to deliver actionable insights.
This role involves leading a team of Data and Software Engineers responsible for ingesting and processing critical loan data from multiple partners. The manager will mentor and train team members, participate in code reviews, manage large-scale projects, and collaborate with project management to improve engineering processes.
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