ADCI HYD
Operations, IT, Support Engineering, Solution Architect, Cloud Computing
DataandAnalyticsArchitect
Neural analysis suggests this role is
optimal for Senior candidates.
“Data and Analytics Architect at ADCI HYD. Skills: Data architecture, AWS data services, Data platform design. Lead design of data solutions. Lead implementation of data solutions”
Industry & Context.
Problem-solving
What They're Looking For.
Must Have
6+ years data engineering experience, 8+ years analytics experience, Experience designing scalable data pipelines, Experience designing cloud-based analytics solutions, Excellent analytical skills, Excellent problem-solving skills, Excellent stakeholder management skills, Ability to work independently, Ability to work as part of a team
Nice to Have
Knowledge of SAP data platforms, Experience with real-time data processing, Experience with event-driven data processing, Experience with data lake architecture, Experience with data warehouse architecture, Experience with hybrid analytics architecture, Experience with enterprise reporting, Experience with KPI frameworks, Experience with dashboard design, Knowledge of finance reporting domains, Knowledge of supply chain reporting domains, Knowledge of enterprise operational reporting domains, Experience leading data modernization initiatives, Experience leading cloud transformation initiatives
What You'll Do.
Lead design of data solutions
Lead implementation of data solutions
Lead support of data solutions
Architect data platforms using AWS
Define data ingestion patterns
Implement data ingestion patterns
Define data transformation patterns
Implement data transformation patterns
Define data storage patterns
Implement data storage patterns
Define semantic modeling patterns
Implement semantic modeling patterns
Define reporting patterns
Implement reporting patterns
Define analytics patterns
Implement analytics patterns
Design data pipelines
Optimize data pipelines
Design batch data processing
Optimize batch data processing
Design near real-time processing
Optimize near real-time processing
Design reporting architectures
Optimize reporting architectures
Ensure data governance
Ensure operational controls
Work with business teams
Work with finance teams
Work with application teams
Design reliable data solutions
Design scalable data solutions
Develop architecture standards
Maintain architecture standards
Develop design documents
Maintain design documents
Develop data flow diagrams
Maintain data flow diagrams
Develop support procedures
Maintain support procedures
Monitor data pipelines
Monitor analytics platforms
Monitor reporting solutions
Drive corrective actions
How You'll Work.
Team & Collaboration
Business teams; Finance teams; IT teams; Application teams
Full Job Description
We are seeking an experienced Data and Analytics Architect to join our team. The ideal candidate will be responsible for leading the design, implementation, and support of scalable data and analytics solutions on AWS, enabling trusted reporting, enterprise insights, and seamless integration across enterprise platforms. The primary focus of this role is AWS-based data engineering, analytics architecture, and modern data platform design, with SAP knowledge considered a strong advantage. Key job responsibilities * Lead the design, implementation, and support of enterprise data and analytics solutions on AWS. * Architect scalable data platforms using AWS services such as Amazon Redshift, Amazon S3, AWS Glue, Amazon Athena, Amazon QuickSuite, AWS Lambda, and related AWS data services. * Define and implement data ingestion, transformation, storage, semantic modeling, reporting, and analytics patterns across structured and semi-structured data sources. * Design and optimize enterprise data pipelines, batch and near real-time data processing, and reporting architectures. * Ensure data quality, governance, security, and operational controls are built into the platform architecture. * Work closely with business, finance, IT, and application teams to design reliable and scalable data solutions aligned with business requirements. * Develop and maintain architecture standards, design documents, data flow diagrams, and support procedures. * Monitor data pipelines, analytics platforms, and reporting solutions for failures, performance issues, and data quality concerns, and drive corrective actions. * Lead implementation, migration, modernization, and enhancement initiatives across data and analytics platforms. * Support integration with enterprise platforms, including SAP and non-SAP systems where required. Basic Qualifications: - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - 6+ years of data engineeri
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