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Applies deep broad technical knowledge of technology and industry trends to lead development, implementation and maintenance or resolution of critical problems for high risk critical data solutions in high complexity environments or projects. Works collaboratively with the other teams including Program/Project managers and other architects to ensure project success. Engages and collaborates with the infrastructure teams to ensure delivery of data related infrastructure components. Collaborates with and advises management on big data architectural strategies and technical approaches.
Leads the resolution of critical and highly complex data problems for large/critical/complex projects. Elicits review, and validate data requirements, including data integration (ETL, EAI, web services), meta data management, data modelling (conceptual, logical, physical), data delivery, and business intelligence extraction. Designs the data architecture and data integration layers. Ensures the integration of the data and information components of a solution and the alignment of information resources to the enterprise strategies and architectures. Develops and leads multiple investigations and technical/architectural definition activities within and across the team. Provides technical leadership, and uses technology trends to:
Educate others on leading-edge technology alternatives.
Solve technical issues that junior members of the team are unable to address.
Provide design leadership and approve solution architecture intended to address the clients needs.
Interpret biases among the different technical worlds.
Be an advisor to management and enable them to make informed decisions.
Reviews data components of solutions and proposals. Participates in deep technical reviews.
Develops organization-wide architectures and methodologies for software application designs and big data solutions across multiple platforms and organizations.
Identifies and evaluates new technologies, innovations, and outsourced development partner relationships for alignment with technology roadmap and business value; creates plans for integration and update into architecture.
Reviews and evaluates designs and project activities for compliance with development guidelines and standards related to security, privacy, and governance needs.
Provides tangible feedback to improve product quality and mitigate failure risk.
Leverages recognized domain expertise, business acumen, and experience to influence decisions of the leadership team, outsourced development partners, and industry standards groups.
Provides guidance and mentoring to less-experienced staff members to set an example of software application designs and development innovation and excellence.
Education and Experience Required:
Bachelors or Masters degree in Computer Science, Information Systems, or equivalent.
Typically 10+ years experience.
Knowledge and Skills:
Experience designing and developing cloud based software solutions and services.
Experience designing and developing large scale data acquisition, data processing pipelines, and data transformation and analytics algorithms.
Experience designing and developing cloud based big data solutions based on AWS services.
Extensive experience in big data focused technical and architectural leadership roles.
Excellent analytical and problem solving skills.
Experience in overall architecture of software applications for products and solutions.
Designing and integrating software applications running on multiple platform types into overall architecture.
History of innovation with multiple patents or published papers or deployed solutions in the field of big data software design.
Excellent written and verbal communication skills; mastery in English and local language.
Ability to effectively communicate product architectures, design proposals and negotiate options at business unit, customer, and executive levels.
Experience with agile planning and execution methodologies.
Experience with continuous integration and delivery concepts, including highly automated testing.
Experience with cloud based network security practices related to large data warehouse applications.
Ability to build strategic relationships across HP.
Ability to contribute to roadmap and opportunity-funnel activities.
Experience with machine learning, neural networks, and AI based big data solutions a plus.
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