Lead Engineer - Data Architect

Arcesium

6 - 11 years

30 - 35 Lacs

Hyderabad

Posted:3 days ago| Platform:

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Skills Required

Data management Data modeling Enterprise applications Enterprise architecture Machine learning Data quality Business intelligence Information technology SQL Data architecture

Work Mode

Work from Office

Job Type

Full Time

Job Description

Company Overview

What Youll Do:

Ability to design, structure, and maintain data effectively and securely
Design and manage relational databases to support enterprise applications and physical data modeling according to project requirements
Integrate disparate applications across the firm into unified data platform design
Engage in identifying architectural weaknesses or data integrity problems and recommend appropriate solutions
Advocate enterprise architecture principles and articulate values propositions to departmental data owners and stewards
Participate and provide data strategy expertise to technology projects and initiatives
Assess Data management and functional capabilities for potential vendor solutions
Partner with business functions and leaders to prioritize business information needs
Integrate and implement AI and machine learning models to enhance data analytics and decision-making processes.
Collaborate with data scientists and AI engineers to integrate AI solutions into the data architecture.

What Youll Need:

Bachelor s degree in engineering, Science, Information Technology, or other related Discipline
6+ years of experience in IT Technical Analysis, implementation of Data Warehousing, Data Mart, relational Databases, and Business Intelligence initiatives
Experience in implementing and administering relational databases and data warehouse solutions
Expertise with ETL processes, data APIs, and data structuring
Hands-on experience with writing SQL and building complex queries
Experience with AWS cloud services (Aurora, S3, EC2, Redshift)
Understand principles of data design, data modeling, and data architecture
Deep experience in logical, physical, and semantic data modeling
Extensive technical knowledge, analytical skills, and creative thinking for problem-solving
Proficiency in AI and machine learning frameworks is important.
Experience in integrating and deploying AI models in a production environment.
Understanding of AI algorithms and their applications in data analytics.
Motivated team player with excellent distance interpersonal skills
Ability to work both independently and collaboratively within geographically dispersed teams
Ability to self-learn, develop and apply business and technical knowledge quickly
Excellent communication and influencing skills
Experience in data governance and data quality a plus
Experience working with Finance business units a plus

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