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Senior Practice Manager - Data Engineering
RackspaceJob Summary
We are seeking a Senior Practice Manager - Data Engineering to lead our Data Engineering practice across AWS & GCP platforms. The role involves managing projects that focus on Data Modernization for clients, developing data solution strategies, and delivering successful outcomes by leveraging Big Data expertise. As a leader, you will mentor and assist with the development of a team comprising Data Engineers, Data Architects, and Lead Data Architects. You will also serve as the primary technical contact between customers and engineering teams, ensuring a comprehensive understanding of the Big Data solution requirements. The ideal candidate has 12+ years of experience in Big Data solutions design and implementation, demonstrated experience with Cloud Data Solutions on AWS & GCP, and a strong focus on professional development in the context of Big Data. We offer flexible remote work options, $4,000/year travel stipends, and equity in a fast-growing company.
Key Responsibilities:
- Act as a Big Data subject matter expert, leading a team of skilled professionals within the Data, Analytics, and AI/ML practice.
- Engage in professional services delivery in a Data Architect or SME role, managing projects that focus on Data Modernization for our clients across GCP and AWS Cloud platforms.
- Strategize around complex customer objectives, develop data solution strategies, and deliver successful outcomes by leveraging Big Data expertise.
- Manage and mentor a team comprising Data Engineers, Data Architects, and Lead Data Architects, guiding their professional development within the Big Data domain.
- Serve as the primary technical contact between customers and engineering teams, ensuring a comprehensive understanding of the Big Data solution requirements.
- Lead and motivate teams throughout the project lifecycle, communicating effectively with all business and technical stakeholders.
- Advocate for GCP and AWS cloud Data solutions, directing high-value cloud migration strategies that employ best practices and agile methodologies.
- Establish credible, impactful relationships with customers to foster their advocacy for cloud and Big Data technologies.
- Architect and implement cutting-edge data solutions for clients, including data ingestion/pipeline design, data warehouse & lake architectures, and cognitive computing on AWS & GCP.
Qualifications:
- 12+ years of experience in Big Data solutions design and implementation, with a solid professional services background.
- Demonstrated experience with Cloud Data Solutions on AWS & GCP is essential.
- Minimum of 5 years of experience leading technical teams, with a strong focus on professional development in the context of Big Data.
- Proven strategic acumen in managing Data modernization projects, with a spotlight on Big Data.
- In-depth understanding and hands-on experience with Big Data Analytics, AI/ML Services, Automation, IaC, and related practices on AWS & GCP.
- Command of software development tools and methodologies related to Big Data.
- Exceptional communication skills with the ability to convey complex technical concepts to diverse audiences.
- Agile in adopting new technologies and capable of quick learning. Technical degree in Computer Science or a related field.
- AWS Certified Solutions Architect Professional certification, with GCP certification is a Must.
Nice to Have:
- 5+ years in customer-facing roles within software/technology, data analysis, or consulting, particularly with Big Data projects.
- Substantial experience with Big Data migrations and transformations.
- Architectural experience with Big Data solutions on GCP and AWS cloud. Agile methodologies expertise.
- Additional certifications in Big Data, AWS, GCP, Data Analytics, AI/ML, or related fields.
Travel:
- As per business requirements
Location Preference
- West Coast - California