Job
Description
Not Applicable Specialism Data, Analytics & AI Management Level Director & Summary . & Summary We are seeking an experienced Senior Data Architect to lead the design and development of our data architecture, leveraging cloudbased technologies, big data processing frameworks, and DevOps practices. The ideal candidate will have a strong background in data warehousing, data pipelines, performance optimization, and collaboration with DevOps teams. Responsibilities 1. Design and implement endtoend data pipelines using cloudbased services (AWS/ GCP/Azure) and conventional data processing frameworks. 2. Lead the development of data architecture, ensuring scalability, security, and performance. 3. Collaborate with crossfunctional teams, including DevOps, to design and implement data lakes, data warehouses, and data ingestion/extraction processes. 4. Develop and optimize data processing workflows using PySpark, Kafka, and other big data processing frameworks. 5. Ensure data quality, integrity, and security across all data pipelines and architectures. 6. Provide technical leadership and guidance to junior team members. 7. Design and implement data load strategies, data partitioning, and data storage solutions. 8. Collaborate with stakeholders to understand business requirements and develop data solutions to meet those needs. 9. Work closely with DevOps team to ensure seamless integration of data pipelines with overall system architecture. 10. Participate in design and implementation of CI/CD pipelines for data workflows. DevOps Requirements 1. Knowledge of DevOps practices and tools, such as Jenkins, GitLab CI/CD, or Apache Airflow. 2. Experience with containerization using Docker. 3. Understanding of infrastructure as code (IaC) concepts using tools like Terraform or AWS CloudFormation. 4. Familiarity with monitoring and logging tools, such as Prometheus, Grafana, or ELK Stack. Requirements 1. 1214 years of experience for Senior Data Architect in data architecture, data warehousing, and big data processing. 2. Strong expertise in cloudbased technologies (AWS/ GCP/ Azure) and data processing frameworks (PySpark, Kafka, Flink , Beam etc.). 3. Experience with data ingestion, data extraction, data warehousing, and data lakes. 4. Strong understanding of performance optimization, data partitioning, and data storage solutions. 5. Excellent leadership and communication skills. 6. Experience with NoSQL databases is a plus. Mandatory skill sets 1. Experience with agile development methodologies. 2. Certification in cloudbased technologies (AWS / GCP/ Azure) or data processing frameworks. 3. Experience with data governance, data quality, and data security. Preferred skill sets Knowledge of AgenticAI and GenAI is added advantage Years of experience required 12 to 18 years Education qualification Graduate Engineer or Management Graduate Education Degrees/Field of Study required Bachelor of Engineering Degrees/Field of Study preferred Required Skills AWS Devops Accepting Feedback, Accepting Feedback, Active Listening, Analytical Reasoning, Analytical Thinking, Application Software, Business Data Analytics, Business Management, Business Technology, Business Transformation, Coaching and Feedback, Communication, Creativity, Documentation Development, Embracing Change, Emotional Regulation, Empathy, Implementation Research, Implementation Support, Implementing Technology, Inclusion, Influence, Innovation, Intellectual Curiosity, Learning Agility {+ 28 more} Travel Requirements Government Clearance Required?
