Job Title

Job Summary We are seeking an experiencedData & Analytics Technical Architectto design and deliver scalable, secure, and high-performance data and analytics solutions. The ideal candidate will have strong expertise indata architecture, cloud platforms (preferably AWS), data engineering, and analytics ecosystems , along with the ability to lead technical teams and drive enterprise data strategy. This role requires a hands-on architect who can defineend-to-end data architecture , guide engineering teams, and collaborate with business stakeholders to deliver data-driven solutions.Key Responsibilities Architecture & Design Design and implementend-to-end data and analytics architectures Build scalableData Lake, Data Warehouse, and Lakehouse solutions Definedata models and architecture standards Create architecture diagrams and technical documentation Establish enterprise-leveldata architecture frameworks Cloud Data Platforms Architect cloud-based data solutions (AWS preferred) Design data platforms using: Amazon S3 AWS Glue Amazon Redshift Athena EMR Lambda Kafka/Kinesis DMS RDS DynamoDB Ensure scalability, reliability, and cost optimization Data Engineering & Integration DesignETL/ELT pipelines Define data ingestion strategies Support batch and real-time data processing Integrate data from multiple sources (APIs, databases, applications) Analytics & Reporting Enable self-service analytics platforms Support BI tools such as Tableau, or QuickSight Design optimized data models for analytics workloads Leadership & Technical Guidance Provide technical leadership to data engineering teams Conduct architecture reviews and design sessions Mentor data engineers and technical leads Collaborate with business and IT stakeholders Drive best practices and standards Data Governance & Security Define data governance frameworks Implement data quality standards Ensure data security and compliance Implement access controls and encryption Performance & Optimization Optimize data pipelines and queries Improve data platform performance Ensure high availability and scalabilityRequired Skills & Qualifications Experience 15–20+ years of IT experience 5+ years in Data Architecture or Technical Architecture Experience designing enterprise data platformsTechnical Skills Data Architecture Data Modeling (Conceptual, Logical, Physical) Data Warehouse Design Data Lake Architecture ETL/ELT Design Data Integration Cloud (AWS Preferred) Amazon S3 AWS Glue Amazon Redshift Athena EMR Lambda Lake Formation Data Technologies SQL (Advanced) Python (Preferred) Spark / Big Data Technologies Databases SQL Server / Oracle / PostgreSQL NoSQL databases Analytics QuickSight / TableauPreferred Skills ⭐ Real-time data processing (Kafka/Kinesis) Data Mesh or Lakehouse architecture Infrastructure as Code (Terraform / CloudFormation) CI/CD pipelines Machine Learning data pipelinesSoft Skills Strong communication skills Stakeholder management Leadership and mentoring Problem-solving skills Strategic thinkingMust Have AWS Certifications (Solutions Architect or Data Analytics) Experience in large enterprise environments Experience in cloud migration projectsIdeal Candidate Profile ⭐ StrongAWS Data Architect background Experience designingenterprise data platforms Hands-on architecture experience Leadership experience Strong data modeling skills