Senior Technology Architect - Data Modelling, ERWIN Modelling

Role Sr. Technology Architect

Technology Data Modelling, ERWIN Modelling, Azure Architect, PySpark

Location UK(London)

Job Description

Data Architect should have key understanding of building Data Models, Experience in Data Architecting and Engineering space on Spark, Pyspark, ADF, Azure Synapse and Data Lake.

Your role

In the role of a Sr Technology Architect, you will primarily be responsible for identifying best-fit architectural solutions for one or more projects; develop design of application, provide regular support/guidance to project teams on complex coding, issue resolution and execution

As a thought and solution leader, you will be the key advisor to architecture and design reviews. You will anchor business pursuit initiatives, client discussions, in-house capability building. You will have the opportunity to shape value-adding solutions that enable our clients to meet the changing needs of the global landscape.

Responsibilities

Define the overall data architecture strategy aligned with business transformation goals

Design scalable, secure, and integrated data models / assets

Define and build Data Modelling and architecture Framework.

Ensure data governance, quality, and compliance across all assets

Experience developing and deploying data intensive application across multiple projects

Involve in Discovery / solution planning discussions to define the solution roadmap.

Guide the integration of legacy systems with new data pipelines and reporting/Analytics tools

Required

Should have hands on experience in Information Technology in technical design and architecting solutions.

Hand on experience in technology consulting, enterprise and solutions architecture and architectural frameworks, Data Modelling, Experience on ERWIN Modelling.

Hands on experience in ADF, Azure Databricks, Azure Synapse, Spark, PySpark, Python/Scala, SQL.

Hands on Experience in Designing and building Data Lake from Multiple Source systems/Data Providers.

Experience on Data Modelling, architecture, implementation & Testing.

Experienced in designing & implementation of End-to-End Data Engineering process using Azure Data Engineering Technologies for distributed systems.

Hands-on experience in data ingestion from various structured & unstructured data sources and also on Batch & Real-Time ingestion.

Good understanding of maintaining Security for cloud applications.

Experience in Clustering & providing performance improvement ideas

Experience in interacting with business customers, IT personnel and members of the IT management team

Good understanding of different project management methodologies including agile and waterfall

Possesses outstanding analytical and conceptual thinking skills, ability to influence partners and work closely with them to resolve acceptable solutions

Knowledge and experience with full SDLC lifecycle.

Knowledge on data governance, quality, and compliance across all assets

Working knowledge of application and system availability, scalability, and distributed data platforms

Preferred

Should have excellent Verbal and Written Communication Skills.

Should have excellent problem-solving skills

Responsible for mentoring team members

Nice to have understanding of APIs and how to use them.

Ability to work in team in diverse/ multiple stakeholder environment

Experience and desire to work in a Global delivery environment

Personal

Besides the professional qualifications of the candidates, we place great importance in addition to various forms personality profile. These include:

High analytical skills

A high degree of initiative and flexibility

High customer orientation

High quality awareness

Excellent verbal and written communication skills

Why Infosys

Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation.

With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer.