Manager, Data Engineering

Kpmg Raleigh , NC 27611

Posted 2 months ago

We are The Lighthouse within KPMG's Consulting practice. We tap into the power of emerging technologies and scientific breakthroughs to create solutions and products that address the largest and most complex issues faced by global companies. By blending technology with our industry expertise, we're able to harness the potential of Cloud, AI, ML, IoT, 5G, and quantum computing to design and implement real-world solutions for a variety of business problems. Work with confidence knowing your ideas are heard and backed by one of the world's top professional services firms. Spark your curiosity and ignite your career at The Lighthouse.

KPMG is currently seeking a Manager in Technology Enablement for our Consulting practice.

Responsibilities:

  • Rapidly architect, design, prototype, implement and optimize software systems to tackle Data Access, Data Management and Data Science needs for a variety of Fortune 1000 corporations and other major organizations; develop modular code to solve real world problems following best practices in the industry

  • Manager the technical process from ideation to delivery: research, experiment and utilize leading data platforms and container methodologies to migrate and/or scale cloud data solutions; build pipelines and scalable analytic tools using leading technologies (for example: Hadoop, Spark, Kafka, Kubernetes, Terraform, Airflow, AWS, Azure, GCP, etc.)

  • Regularly conduct peer code reviews to ensure code quality provide expert documentation and provide operating guidance for users of all levels; be a champion for high quality software using TDD and other quality control approaches

  • Stay relevant and ahead of the curve on industry needs and technology trends by growing and participating in cross-disciplinary communities; lead, mentor and teach team members; participate in developing and presenting thought leadership

  • Develop engineering designs impact business performance; translate between business and technical stakeholders; leverage technical background to lead technical work and build client relationships

  • Help drive the engineering business by pursuing innovation funding, building targeted industry solutions and extendable platforms to expand our technology and solution delivery capabilities

Qualifications:

  • Minimum five years of recent programming languages (Python, Scala preferred) with the ability to pick up new languages and technologies quickly; ability to rapidly ingest, transform, engineer and visualize data for both ad hoc and product-level (e.g., automated) data & analytics solutions; understanding of cloud and distributed systems principles (load balancing, networks, scaling, in-memory vs. disk, etc); experience with large-scale big data methods (Hadoop stack, Cloud, Kubernetes); comfortable working in Unix terminal and maintaining production data environment (database migrations, artifact infrastructure and code deployment)

  • Bachelor's degree from an accredited college/university or Master's degree from an accredited college/university with minimum two years of experience; or a PhD in Computer Science, Computer Engineering, Engineering or related fields from an accredited college/university

  • Architecture and Integration Experience with coding and testing patterns working with existing commercial or open source software platforms; familiarity with different architecture patterns of development (Event Driven, API concepts, cloud managed services, functional programming, Lambda, etc.); capability to architect highly scalable distributed systems using different open source tools.

  • Expertise with development tools and team methodologies (Agile, git, test driven development, CI/CD release management)

  • Ability to work with other technical team members to assess needs, provide assistance, and resolve technical problems; understand engagement objectives which includes a clear understanding of the clients business problem, and how the engagement helps address the clients business needs.

  • Travel as needed and must be currently authorized to work in the United States without the need for visa sponsorship now or in the future

Colorado Salary Statement:

The salary range displayed is specifically for those potential hires who will work or reside in the state of Colorado if selected for the role. Any offered salary is determined based on internal equity, internal salary ranges, market data/ranges, applicant's skills and prior relevant experience, certain degrees and certifications (e.g. JD/technology), for example.

Colorado Salary Range: Low: $79100 - High: $160600

KPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an affirmative action-equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.

At KPMG, any partner or employee must be fully vaccinated or test negative for COVID-19 in order to go to any KPMG office, client site or KPMG event. In some circumstances, individuals who are not fully vaccinated may also be required to have a reasonable accommodation to not be fully vaccinated for COVID-19.

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Manager, Data Engineering

Kpmg