Job Summary:
We are seeking anexperienced Data Architect with a minimum of 10 years of professionalexperience, preferably in the Indian BFSI industry. The successful candidatewill be responsible for designing and implementing robust, scalable, and securedata architectures to support the organization"s data-driven initiatives andbusiness objectives, with experience in cloud (AWS, Azure, GCP) and on-premises(Cloudera/ CDP) environments.
KeyResponsibilities:
Must Have:
1. Analyze andunderstand the organization"s data landscape, including existing data sources,data flows, and data storage solutions in both cloud (AWS, Azure, GCP) andon-premises (Cloudera) environments.
2. Design anddevelop comprehensive data architectures that address the organization"scurrent and future data requirements, ensuring data integrity, security, andcompliance across cloud and on-premises infrastructure.
3. Collaborate withcross-functional teams, including business analysts, application developers,and IT infrastructure teams, to align data architecture with the overall IT andbusiness strategies.
4. Define dataintegration and transformation processes, ensuring efficient and reliable dataflows between various systems and applications, both on-premises and in thecloud (AWS, Azure, GCP).
5. Implement datagovernance and data quality management practices to ensure data consistency,accuracy, and reliability across the organization, irrespective of the datastorage location (cloud or on-premises).
6. Assess andrecommend appropriate data storage technologies, such as relational databases,data warehouses, and big data platforms (e.g., Cloudera), based on theorganization"s requirements, considering both cloud (AWS, Azure, GCP) andon-premises options.
Good to Have:
7. Develop andmaintain data models, data dictionaries, and metadata repositories to provide acomprehensive understanding of the organization"s data assets, across cloud andon-premises environments.
8. Evaluate andselect appropriate data management tools and technologies to support the dataarchitecture, ensuring seamless integration and scalability across cloud (AWS,Azure, GCP) and on-premises (Cloudera) environments.
9. Providetechnical leadership and mentorship to the data engineering and analyticsteams, contributing to the overall data management capabilities, with a focuson both cloud and on-premises data solutions.
10. Stay updatedwith industry trends, best practices, and emerging technologies in the datamanagement domain, and recommend innovative solutions to enhance theorganization"s data capabilities, including cloud-based (AWS, Azure, GCP) andon-premises (Cloudera) solutions.
Qualificationsand Experience:
Minimum 8-10years of experience in data architecture, with a strong focus on the IndianBFSI industry.
Proficient indesigning and implementing data architectures using a variety of data storagesolutions, such as relational databases, data warehouses, and big dataplatforms (e.g., Cloudera), in both cloud (AWS, Azure, GCP) and on-premisesenvironments.
Extensiveknowledge of data integration and transformation techniques, including ETL(Extract, Transform, Load) and ELT (Extract, Load, Transform) processes, withexperience in both cloud-based (AWS, Azure, GCP) and on-premises (Cloudera)approaches.
Familiarity withdata governance frameworks, data quality management, and metadata managementpractices, and their application across cloud (AWS, Azure, GCP) and on-premises(Cloudera) environments.
Hands-onexperience with data modeling, database design, and performance optimization,considering the unique requirements of cloud (AWS, Azure, GCP) and on-premises(Cloudera) data architectures.
Strongunderstanding of data security, privacy, and compliance regulations in the BFSIindustry, and the ability to apply these principles in both cloud (AWS, Azure,GCP) and on-premises (Cloudera) environments.
Proven ability tocollaborate with cross-functional teams and effectively communicate technicalconcepts to both technical and non-technical stakeholders.
Experience inleading and mentoring data engineering and analytics teams, with a focus oncloud (AWS, Azure, GCP) and on-premises (Cloudera) data managementcapabilities.
Degree inComputer Science, Information Technology, or a related field. Advanced degreesor certifications in data management or architecture, with a focus on cloud(AWS, Azure, GCP) and on-premises (Cloudera) solutions, are preferred.
If you have therequired skills and experience, we encourage you to apply for this excitingopportunity to join our dynamic and innovative team.