Principal Data Architect For cloud data engineering

Company : Minfy

Job Type : Full Time

Secunderabad

Number of Applicants

:

000+

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Job Description - Principal Data Architect For cloud data engineering

Collaborate with stakeholders to understand business objectives and translate them into data architecture requirements.
Design and implement data models, develop Data attribute maps, database schemas, and data integration strategies that comply with regulatory requirements and industry best practices.
Develop and maintain data governance policies and procedures to ensure the confidentiality, integrity, and availability of sensitive data.
Implement data security measures and access controls to protect against unauthorized access and mitigate potential risks.
Architect and optimize data storage and retrieval processes to meet the performance and scalability demands of banking applications.
Leverage AWS services such as Amazon Redshift, Amazon RDS, Amazon Aurora, and AWS Glue to build scalable and cost-effective data solutions.
Architect and design solutions to meet functional and non-functional requirements.
Lead the design, implementation, and optimization of Intelligent Data platform.
Develop and maintain a comprehensive understanding of data pipeline and data architecture.
Develop and maintain documentation for our Intelligent data platform including architecture diagrams, deployment guides, and operational procedures.
Provide guidance and support to our data engineering team.
Create and review architecture and solution design artifacts.
Evangelize re-use through the implementation of shared assets.
Enforce adherence to architectural standards/principles, global product-specific guidelines, usability design standards, etc.
Proactively guide engineering methodologies, standards, and leading practices.
Identify, communicate, and mitigate Risks, Assumptions, Issues, and Decisions throughout the full lifecycle.
Considers the art of the possible, compares various architectural options based on feasibility and impact, and proposes actionable plans.
Demonstrate strong analytical and technical problem-solving skills.
Ability to analyze and operate at various levels of abstraction.
Ability to balance what is strategically right with what is practically realistic.
Growing the Data Engineering business by helping customers identify opportunities to deliver improved business outcomes, designing and driving the implementation of those solutions.
Leading team in the definition of best practices repeatable methodologies in Cloud Data Engineering, including Data Storage, ETL, Data Integration Migration, Data Warehousing and Data Governance
Should have Technical Experience in AWS Cloud Data Engineering services and solutions.
Contributing to Sales Pre-sales activities including proposals, pursuits, demonstrations, and proof of concept initiatives
Evangelizing the Data Engineering service offerings to both internal and external stakeholders
Development of Whitepapers, blogs, webinars and other though leadership material
Development of Go-to-Market and Service Offering definitions for Data Engineering
Expand the business within existing accounts and help clients, by building and sustaining strategic executive relationships, doubling up as their trusted business technology advisor.
Position differentiated and custom solutions to clients, based on the market trends, specific needs of the clients and the supporting business cases.
Build new Data capabilities, solutions, assets, accelerators, and team competencies.

Mandatory Skills Description:

Provide technical leadership and mentorship to junior members
Proven experience as a Data Architect with a deep understanding of Enterprise systems and processes
Strong proficiency in SQL and database technologies with experience in designing and optimizing data models for core applications
Handson experience with AWS cloud services particularly those relevant to data architecture such as Amazon Redshift Amazon RDS
AWS Glue and AWS Lambda
Technology Agnostic approach for multitude of data source systems and API gateways

Nice-to-Have Skills:

Familiarity with compliance requirements such as GDPR, PII protection frameworks, PCI DSS.
Excellent communication and interpersonal skills, with the ability to effectively collaborate with diverse teams and stakeholders.
AWS certifications (e.g., AWS Certified Solutions Architect, AWS Certified Data Analytics Specialty) are highly desirable.

Minimum Qualifications Excellent technical architecture skills, enabling the creation of future-proof, complex global Platform solutions.

Excellent interpersonal communication and organizational skills are required to operate as a leading member of global, distributed teams that deliver quality services and solutions.
Ability to rapidly gain knowledge of the organizational structure of the firm to facilitate work with groups outside of the immediate technical team.
Knowledge and experience in IT methodologies and life cycles that will be used.
Familiar with solution implementation/management, service/operations management, etc.
Maintains close awareness of new and emerging technologies and their potential application for service offerings and products.
Bachelor s Degree or equivalency (CS, CE, CIS, IS, MIS, or engineering discipline) or equivalent work experience.
Experience in architecting and designing technical solutions for cloud-centric solutions based on industry standards using IaaS, PaaS, and SaaS capabilities.
Must have strong hands-on experience on various cloud services like Lambda, S3, Security, Monitoring, Governance Compliance.
Must have good knowledge of Data Engineering concept and related services of cloud.
Must have good experience in Python and Spark.
Must have good experience in setting up development best practices.
Experience with claims-based authentication (SAML/OAuth/OIDC), MFA,RBAC, SSO etc.
Knowledge of cloud security controls including tenant isolation, encryption at rest, encryption in transit, key management, vulnerability assessments, application firewalls, SIEM, etc.
Experience building and supporting mission-critical technology components with DR capabilities.
Experience with multi-tier system and service design and development for large enterprises
Extensive, real-world experience designing technology components for enterprise solutions and defining solution architectures and reference architectures with a focus on cloud technologies.
Exposure to infrastructure and application security technologies and approaches
Familiarity with requirements gathering techniques.

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