Infosys Consulting
Do you want to boost your career and collaborate with expert colleagues to solve and deliver against our clientsʼ most important challenges? We are growing and are looking for people to join our team. You will be part of an entrepreneurial, high‑growth environment of 300,000 employees, working across functional business pillars.
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
Broad business skill set including stakeholder management, problem‑solving, and resilience.
Experience in gathering, validating, synthesizing, documenting, and communicating data and information for a range of audiences, particularly non‑technical audiences.
Willingness to travel for project‑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, 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 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 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 (Hadoop, Spark).
Strong knowledge of data workflow solutions like Azure Data Factory, Apache NiFi, Apache Airflow.
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.
Benefits Industry‑leading compensation and benefits, along with top training and development opportunities to grow your career and achieve personal ambitions.
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. If you feel you have the skills and experience required,
apply now.
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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
Broad business skill set including stakeholder management, problem‑solving, and resilience.
Experience in gathering, validating, synthesizing, documenting, and communicating data and information for a range of audiences, particularly non‑technical audiences.
Willingness to travel for project‑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, 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 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 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 (Hadoop, Spark).
Strong knowledge of data workflow solutions like Azure Data Factory, Apache NiFi, Apache Airflow.
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.
Benefits Industry‑leading compensation and benefits, along with top training and development opportunities to grow your career and achieve personal ambitions.
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. If you feel you have the skills and experience required,
apply now.
#J-18808-Ljbffr