Principal Architect (d/f/m) Principal Architect (d/f/m) …

Cognizant
in Hamburg, Freie und Hansestadt Hamburg, Germany
Permanent, Full time
Be the first to apply
Competitive
Cognizant
in Hamburg, Freie und Hansestadt Hamburg, Germany
Permanent, Full time
Be the first to apply
Competitive
Cognizant
Principal Architect (d/f/m)
Job Role: Principal Architect (d/f/m)

Location: Germany

Every functional area, in every industry, is on an AI Journey. The power of machine learning to dramatically improve company key performance indicators is being proven every day. But, although we feel every large organization is on an AI journey, the path to value is unclear.

There are three key barriers to deploying AI and machine learning at scale:

  • Building data pipelines that feed both the development and deployment of machine learning models
  • Improving consistency, reducing effort and expanding the ability of data scientists to address the growing range of business problems from prediction to prescription
  • Building out the necessary infrastructure to support 100s of machine learning models in production, including the necessary governance and compliance patterns

At Cognizant we are proud to be helping our clients on their journey to AI at scale. We've built practices that bring together the best talent to address these key barriers, and have built unique capability to complement our people:

  • Our Adaptive Data Foundation brings together our accelerators, partnerships and consulting approach to help clients solve the increasing demands for data
  • Our Evolutionary AI technology and patents is reducing the effort required to develop deep learning and other sophisticated models. It's particularly adept at addressing prescription problems, from marketing to next best action to supply chain
  • Our architecture frameworks help clients navigate technology choices throughout the AI process. As well as building capability in close collaboration with the leading cloud providers, we are working with startups that address the critical engineering challenges that machine learning brings

Client demand has meant that we are growing these practices at an unprecedented rate. We are looking for people that can bring existing strengths in data engineering and data science but we want to hire people that share our vision and want to grow their own skills across the problem space.

Job description

The Principal Architect ensures that projects and products deliver cost effective, sustainable data solutions that align with Shell's strategic direction. The Solution Data Architect will be expected to develop data models and other artefacts plus influence design decisions throughout the software development lifecycle.

Key deliverables include the Solution Architecture High Level Design covering all necessary data models, matrices, diagrams, controls, and architectural guidance to detail the solution's data design and enable its physical implementation.

The Principal Architect will need to collaborate with the Segment Data Architect to understand the bigger picture driving the segment, leverage and contribute towards Enterprise artefacts, and deliver in accordance to the strategic guidance and enterprise standards.

The role requires a hands-on approach to data design including specialist knowledge of technologies involved in the implementation of data-based solutions.

Primary Accountabilities

• Works with Business Analysts, Data Analysts, and Business SME's to determine the solutions data scope by understanding the business data requirements driving the solution.

• Works with the Solution Architect to design the end-to-end solution data flows (e.g. API's) sourcing data from architecturally approved sources (masters) and highlighting any gaps.

• Works with Analysts, SME's and Architects to assess data sources and their suitability for the solution. This includes profiling data to infer and communicate pertinent facts about users, systems and data quality from the data sets.

• Designs conceptual and logical data models to support the business requirements.

• Uses the logical data model as basis of delivering physical data models or message formats. Works with Software and Data Engineers to ensure they are implemented as designed. Where possible produces DDL for the build of data stores.

• Ensures that physical models meet all functional requirements and provides input on non-functional aspects such as sizing, performance and scalability.

• Creates or validates mapping of data across sources, based on data content.

• Works with the business to determine and document the applicable data quality standards that the data used in the solution needs to adhere to.

• Works closely with Data Owners to support data quality improvement exercises.

• Works with other Architects to understand and document interaction between data and applications to determine current and future systems or records and resulting integration requirements.

• Works with Process Architect and Business Analysts to understand the relevant business processes, and document relationship between process and data to ensure we know what roles create, update, consume and delete data throughout its lifecycle, both as-is and to-be.

• Ensures all applicable data policies (segregation of duties, business controls, data access controls, legislation, etc.) are understood and adhered to. Proactively designs to meet these requirements.

• Drives and manages the development (and maintenance) of all solution data architecture metadata using Enterprise Tooling and exposing metadata via Data Catalogues.

• Works across teams to identify existing data designs, patterns, tools or techniques that may facilitate or expedite delivery.

• Ensures solution data architecture artifacts are created in accordance to data architecture standards.

• Works with Segment Data Architect to align on the bigger picture driving the Segment.

• Collaborates with the Segment Data Architect to leverage and contribute to enterprise artefacts ensuring that the solution data architecture is implemented in alignment with the segment strategy.

Who are we?

The Artificial Intelligence & Analytics (AI&A) Team is a Technology & Architecture Practice within Cognizant responsible for delivery state of the art solutions on Data modernization, Advanced Analytics and Artificial intelligence across all client industry verticals.

What will you do?

You will be playing a critical role in achieving Cognizant's business objectives. You will be part of the team working closely with our client stakeholders in sourcing the data, converting it into valuable Data assets and making the Data of right quality available for advanced analytics and Artificial intelligence use cases for business.

You will be responsible for the client engagement success from solutioning through delivery.

You will also be focused on growing our business by providing innovative solutions and adding a real value to our clients. In particular we are seeking the Big Data Architects experienced in

What experience are we looking for?

• Mastery of core Data Architecture skills including: Data Analysis, Data Profiling, Data Modelling (ERD, Dimensional), Data Warehouse Design (Kimball, Inmon), Big Data Design (Lambda, Kappa), Data Lifecycle management, Master Data Management & implementation patterns, Data Integration patterns and methods.

• Mastery of technologies involved in data management is required (database management systems, data services, data lakes, etc.).

• Mastery of Enterprise Architecture Frameworks (TOGAF) and application thereof.

• Mastery of Data Architecture and Enterprise Architecture tooling such as PowerDesigner and BiZZdesign.

• Good understanding of and affinity with Integrated Oil & Gas industry is preferred.

• Experience of working with Agile Delivery teams and a knowledge of DevOps constructs.

• Experienced, global, virtual team worker.

• Knowledge of all architecture aspects and keen to stay up to date with key developments in IT.

• Affinity with the other Enterprise Architecture domains (process, application, infrastructure, security and information risk).

• Leadership & negotiating skills: - ability to drive change using influence and networking.

• Ability to build a shared vision and able to communicate well.

• Delivery-oriented with focus on results. Must be a doer with a hands-on attitude.

• Organized and methodical. Ability to initiate, plan and develop according to plan while working with a degree of uncertainty and risk.

About Cognizant

Cognizant (NASDAQ-100: CTSH) is one of the world's leading professional services companies, transforming clients' business, operating and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant is ranked 193 on the Fortune 500 and is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com or follow us @Cognizant.de
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