Infosys Consulting
Tech / AI / Software
DataArchitect
Neural analysis suggests this role is
optimal for Senior candidates.
“Data Architect at Infosys Consulting. Skills: Data architecture, Database management, Data modelling, Data governance, Cloud data platform, Big data technologies, SQL, NOSQL. Designing and implementing data architectures. Design and implement robust scalable, secure, optimised data solutions that support business requirements and strategic goals”
What You'll Achieve.
Deliver against our clients' most important challenges; Support business requirements and strategic goals; Make an impact
Industry & Context.
Problem-solving; Analytical skills; Diagnose underlying issues; Propose potential solutions
Willing to travel for project-related work
What They're Looking For.
Must Have
Designing and implementing data architectures, Database management, Data modelling, Data governance, Stakeholder management, Problem-solving, Resilience, Gathering, validating, synthesizing, documenting, and communicating data and information for a range of audiences, particularly audiences that are not technical, 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, Proven experience as a Data Architect, 10+ years of experience in data architecture, database management and data modelling, 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), Experience with big data technologies (e.g. , Hadoop, Spark), 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
Nice to Have
Willing to travel for project-related work
What You'll Do.
Designing and implementing data architectures
Design and implement robust scalable
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
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
How You'll Work.
Team & Collaboration
Collaborate with clients; Collaborate with cross-functional teams; Provide technical guidance and mentorship to data engineers and other team members
Communication Scope
Communicating data and information for a range of audiences, particularly audiences that are not technical; Provide expert advice on data management and architecture
Process & Methodology
Project lifecycle
Full 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
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