Designation: Director – Data Architect Solution

Skill: Data Architect + Cloud GCP + Presales

Job Description:

You will be responsible for developing, maintaining, and testing data solutions with a wide variety of data platforms including relational databases, big data platforms and no-sql databases. You will collaborate with BI visualization experts, Industry SMEs, Data scientists and client Experts to drive data related projects. You will be responsible for Modelling the Data Lake. You will develop various data ingestion transformation routines to acquire data from external data sources. You will be involved in securing access to the data based on appropriate rights, implementing data quality routines and mechanisms to flag bad data for correction, and building QA and automation frameworks to monitor daily ingestion of data and provide alerts on errors and other problems.
Required Skills

BE/B.Tech or Advanced degree in a relevant field (Computer Science and Engineering, Technology and related fields)
Expertise in architecting and designing for Data Solutions, Security Constraints, Resiliency, High-Availability, Fault Tolerance, and Scalability in the context of GCP Cloud
Strong experience with various architecture patterns like Data lake, EDW, Data Mesh, Data Vault
Has Led Enterprise Architecture and Solutioning Efforts to Define and Develop Big Data Components
Deep Knowledge of Best Practices Through Relevant Experience Across Data-Related Disciplines and Technologies, Particularly For Enterprise-Wide Data Architectures, Data Management, Data Governance And Data Warehousing
Establish governance and enforce quality standards for cloud software and infrastructure architectures (IaaS, PaaS and SaaS)
Experience in cloud replication strategies and architecture, as well as promoting a DevOps culture within the organization to support the CI/CD deployment process. Demonstrated advanced knowledge of native GCP tools
Architect data integrations solutions in both batch and real-time to support functional and non-functional requirements of data projects.
Architect and design framework components for standardization and productivity improvement.
Architect and design solutions to advance data quality, metadata, data security, and data integration.
Architect solutions to align with the future state with minimal rework or impact to downstream systems and users.
Strong knowledge of what works and what doesnt. This includes common pitfalls and mistakes when designing a data pipeline
Identify, evaluate and introduce new technology components to support the advancement of new business capabilities.
Excellent knowledge of data technologies including traditional (RDBMS) , non-traditional (NoSQL) platforms and BigData platforms
Strong Data Modelling experience. Experience with Data Modeling tools (Erwin, Rdbms & Nosql) & Data Virtualization (Denodo, Tibco)
Establish and maintain policies and data standards.
Experience working with API data integration
Proven success in communicating with client counterparts, technical teams, and senior management to collect user requirements, describe data modelling decisions and data engineering strategy.
Support teams to implement architected solutions.

RoleNLP / DL Engineering / Architect
Industry TypeBPO / Call Centre
DepartmentData Science & Analytics
Employment TypeFull Time, Permanent
Role CategoryData Science & Machine Learning
Education
UG :Any Graduate