Job summary
Job post source
This job is directly from Park Place Technologies
Job overview
The Manager, Data Engineering at Park Place Technologies leads a team responsible for building scalable data platforms and supporting data science and AI initiatives, impacting the organization's data capabilities.
Responsibilities and impact
The role involves managing a team of 8-12 data engineers and scientists, designing and maintaining Azure-based data architectures, overseeing data governance, supporting Power BI analytics, driving cost optimization, and collaborating cross-functionally to align data initiatives with business goals.
Experience and skills
Requires a bachelor's degree in a related field, 8+ years in data engineering or science with 3+ years in leadership, expertise in Microsoft Azure data technologies, data modeling, ETL/ELT, Power BI, and data governance; preferred certifications include Azure Data Engineer Associate and Azure AI Engineer Associate.
Career development
The position offers mentorship opportunities, encourages certifications, and supports career growth within data engineering and data science domains.
Work environment and culture
The company promotes a forward-thinking, collaborative environment focused on innovation, data-driven decision-making, and global team collaboration.
Company information
Park Place Technologies is a company focused on leveraging data, analytics, and AI to drive business success, emphasizing innovation and impactful data solutions.
Team overview
The candidate will manage a global team of 8-12 full-time employees including onshore and offshore data engineers and data scientists.
Unique job features
The role uniquely combines leadership of both data engineering and data science teams, emphasizes advanced Azure technologies, and integrates data governance with AI initiatives to drive innovation.
Company overview
Park Place Technologies is a global leader in third-party data center hardware maintenance, providing post-warranty support for IT infrastructure across various industries. They generate revenue by offering comprehensive maintenance services, including hardware replacement, remote monitoring, and technical support, which help organizations extend the life of their IT assets. Founded in 1991, the company has grown significantly through strategic acquisitions and global expansion, positioning itself as a trusted partner for over 21,500 clients worldwide.
How to land this job
Position your resume to emphasize leadership in managing diverse data engineering and data science teams, highlighting experience with onshore and offshore resource coordination.
Focus on your expertise with Microsoft Azure data technologies such as Azure Synapse Analytics, Databricks, and Azure Data Lakehouse, and your ability to design scalable data platforms and implement data governance frameworks.
Apply through multiple channels including Park Place Technologies' corporate career site, LinkedIn, and other job boards where the position is listed to maximize your application visibility.
Connect with current employees in Park Place Technologies’ data engineering or data science divisions on LinkedIn, using ice breakers like commenting on recent Azure projects the company has undertaken or asking about their experience with the company’s data governance practices.
Optimize your resume for ATS by incorporating keywords from the job description such as 'Azure Synapse Analytics,' 'data lakehouse,' 'data governance,' 'Power BI,' and 'machine learning pipelines' to ensure it passes automated screenings.
Utilize Jennie Johnson's Power Apply feature to automate tailored applications, identify multiple application portals, and discover LinkedIn contacts to network with, allowing you to focus more on preparing for interviews and skill enhancement.
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