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Data Architect

Remote: 
Full Remote
Salary: 
300 - 300K yearly
Experience: 
Expert & Leadership (>10 years)
Work from: 

Offer summary

Qualifications:

10+ years of experience in data architecture., Strong knowledge of software development methodologies., Proficiency in SQL and NoSQL systems., Experience with cloud platforms and big data technologies..

Key responsabilities:

  • Design and implement robust data solutions.
  • Collaborate with clients on data needs and improvements.
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Infosys Large https://www.infosys.com
10001 Employees
See more Infosys offers

Job description

Do you want to boost your career and collaborate with expert, talented colleagues to solve and deliver against our clients' most important challenges? We are growing and are looking for people to join our team. You'll be part of an entrepreneurial, high-growth environment of 300.000 employees. Our dynamic organization allows you to work across functional business pillars, contributing your ideas, experiences, diverse thinking, and a strong mindset. Are you ready?

About your role

The ideal candidate will have extensive experience in designing and implementing data architectures, with a strong understanding of database management, data modelling, and data governance. This role requires a strategic thinker with strong analytical and problem-solving skills and the ability to work collaboratively with clients and cross-functional teams.

Requirements

You..

·       Have a broad business skill set including stakeholder management, problem-solving, and resilience

·       Have experience in gathering, validating, synthesizing, documenting, and communicating data and information for a range of audiences, particularly audiences that are not technical.

·       Are willing to travel forproject-related work.

·       Design and implement robust scalable, secure, optimised data solutions that support business requirements and strategic goals.

·       Evaluate the client’s existing data estate,  can diagnose underlying issues, and propose potential solutions.

·       Collaborate with clients to understand their data needs and provide expert advice on data management and architecture.

·       Develop data models, data flow diagrams, and data dictionaries.

·       Oversee the ingestion and integration of data from multiple sources into enterprise data platforms.

·       Conduct data quality assessments and implement data governance processes and best practices..

·       Stay updated with the latest trends and technologies in data architecture and management.

·       Provide technical guidance and mentorship to data engineers and other team members.

·       Identify and mitigate data-related risks throughout the project lifecycle.

 

Qualifications:

·       Proven experience as a Data Architect, with 10+ years of experience in data architecture, database management and data modelling.

·       Strong knowledge of software development methodologies, tools, and frameworks, particularly Agile.

·       Proficiency in both SQL and NOSQL database management systems (e.g. SQL Server/Oracle/MongoDB, CosmosDB, Snowflake, Databricks).

·       Hands-on experience with data modelling tools, data warehousing, ETL processes, and data integration techniques.

·       Experience with at least one cloud data platform (e.g. AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark).

  • Strong knowledge of data workflow solutions like Azure Data Factory, Apache NiFi, Apache Airflow etc
  • Good knowledge of stream and batch processing solutions like Apache Flink, Apache Kafka/
  • Good knowledge of log management, monitoring, and analytics solutions like Splunk, Elastic Stack, New Relic etc

Given that this is just a short snapshot of the role we encourage you to apply even if you don't meet all the requirements listed above. We are looking for individuals who strive to make an impact and are eager to learn. If this sounds like you and you feel you have the skills and experience required, then please apply now.

Benefits

About your team

Join our growing Data & Analytics practice and make a difference.

In this practice you will be utilizing the most innovative technological solutions in modern data ecosystem.  In this role you’ll be able to see your own ideas transform into breakthrough results in the areas of Data & Analytics strategy, Management & Governance, Data Integration & engineering, Analytics & Data science. 

About Infosys Consulting

Be part of a globally renowned management consulting firm on the front-line of industry disruption and at the cutting edge of technology.  We work with market leading brands across sectors. Our culture is inclusive and entrepreneurial. Being a mid-size consultancy within the scale of Infosys gives us the global reach to partner with our clients throughout their transformation journey.

Our core values, IC-LIFE, form a common code that helps us move forward. IC-LIFE stands for Inclusion, Equity and Diversity, Client, Leadership, Integrity, Fairness, and Excellence. To learn more about Infosys Consulting and our values, please visit our careers page.

Within Europe, we are recognized as one of the UK’s top firms by the Financial Times and Forbes due to our client innovations, our cultural diversity and dedicated training and career paths. Infosys is on the Germany’s top employers list for 2023. Management Consulting Magazine named us on their list of Best Firms to Work for. Furthermore, Infosys has been recognized by the Top Employers Institute, a global certification company, for its exceptional standards in employee conditions across Europe for five years in a row.

We offer industry-leading compensation and benefits, along with top training and development opportunities so that you can grow your career and achieve your personal ambitions. Curious to learn more? We’d love to hear from you.... Apply today!

 

Required profile

Experience

Level of experience: Expert & Leadership (>10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Problem Solving
  • Collaboration
  • Communication
  • Resilience
  • Analytical Skills

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