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Senior Practice Manager - Data Engineering
RackspaceJob Summary
We are seeking a Senior Practice Manager - Data Engineering to lead our Data, Analytics and AI/ML practice. The role involves delivering successful projects that deliver measurable business value, managing a team of data engineers, architects and lead architects, and advocating for cloud and big data technologies. The ideal candidate will have 12+ years of experience in big data solutions design and implementation, with a solid professional services background. They should also possess strong communication skills, technical expertise, and leadership abilities. As a leader within the practice, you will be responsible for ensuring the overall success of the practice as well as driving projects that deliver successful outcomes for customers wanting to do Data Modernization and AI/ML work. 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