Cloud Data Lead/Architect - Data Management

Job Description : As a Cloud Data Lead, he/she will oversee the design, implementation, and management of cloud-based data solutions. He/she will lead a team of data engineers and collaborate with stakeholders to ensure data is managed efficiently, securely, and is accessible for business intelligence and analytics. His/her expertise in cloud platforms, data architecture, and leadership will drive the success of our data initiatives and support data-driven decision-making across the organization. Proven experience as a Data Architect, Data Engineer, or similar role with a strong understanding of end-to-end data architecture. Key Responsibilities : Design and Strategy : - Develop and implement data architecture strategies that align with business goals. - Design scalable and efficient data models and frameworks. Data Integration : - Oversee the integration of data from various sources, including internal systems and external partners, ensuring seamless data flow and accessibility. Data Management : - Implement best practices for data governance, quality, and security. - Develop and enforce data management policies and standards. Analytics Support : - Collaborate with data analysts and data scientists to support their needs, including providing data access and optimizing data pipelines for analysis. Technology Selection : - Evaluate and recommend data technologies, tools, and platforms to enhance data management and analytics capabilities. Collaboration : - Work closely with cross-functional teams including IT, business stakeholders, and data engineers to ensure data architecture meets organizational needs. Team Leadership : - Lead and coordinate cross-functional project teams. - Assign tasks, set clear expectations, and ensure effective communication among team members. Performance Optimization : - Monitor and optimize data systems for performance, scalability, and reliability. - Address and resolve data-related issues and bottlenecks. Documentation : - Create and maintain comprehensive documentation of data architecture, including data flows, data models, and technical specifications. Technical Skills : Cloud Data : - In-depth knowledge of AWS services (IAM, Redshift, Step Functions) - Proficiency in infrastructure as code (IaC) tools (like CloudFormation Stack) - Knowledge of database technologies (SQL, NoSQL) - Experience with data processing and analysis tools (AWS Glue, EMR) Big Data Technologies : Big Data Frameworks : - Strong experience of Hadoop, Spark, or other big data processing frameworks. ETL (Extract, Transform, Load) Processes : ETL Tools : - Experience with tools like IBM DataStage, ODI, Informatica, Talend, Microsoft SQL Server Integration Services (SSIS), Apache Nifi. Data Transformation : - Skills in data cleansing, aggregation, and enrichment. Data Warehousing Architecture : Architecture Design : - Understanding of data warehouse architecture, including staging, data integration, and presentation layers. - Collaboration and Communication Tools Collaboration Tools : - Familiarity with tools like JIRA, Confluence for project management and team collaboration. Interpersonal skills : - Excellent communication and collaboration skills. - Ability as part of a team. - Strong problem-solving and analytical skills. - Must have worked with US customers and should have provided at least 3-4 hours overlap with Pacific Time (PT) Bonus points : - Certifications in cloud platforms Experience and Job location : - Experience should be between 10 to 15 years. Location : Bangalore (ref:hirist.tech)

Location: in, IN

Posted Date: 10/9/2024