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Analyst III, Data Architect

Kraft Heinz Company -
Ahmedabad, Gujarat

Apply Now

Job details

Qualifications

Jira
BCS
Power BI
Data modeling
Azure
Computer Science
SAP
NoSQL
Tableau
SQL
Pandas
AWS
Analysis skills
Quality assurance
Bachelor's degree
Confluence
Agile
Kafka
Data science
Metadata
SAP ERP
Communication skills
Data warehouse
Python
Data Science
Analytics

Full job description

Job Description

Data Architect

General Information

Role Description: The data architect is responsible for designing, creating, and managing an organization’s data architecture. This role is critical in establishing a solid foundation for data management within an organization, ensuring that data is organized, structured, accessible, secure, and aligned with business objectives.

Responsibilities

Interact & Influence business stakeholders to secure strong engagement and ensures that the data & analytical product delivery aligns with longer-term strategic roadmaps
Design & contribute towards the structure and layout of lake house architecture optimizing data storage, and establishing data access controls and security measures
Implement the long-term Data & Analytics strategy and deliver functional objectives
Assess requirement feasibility, translates high-level business requirements into data requirements, appropriate metadata, test data, and data quality standards
Explore Data Sources by working with Application owners to confirm datasets to be extracted
Contribute to establishing and implementing database structure, including schema design, table definitions, column specifications, and naming conventions
Design Data models for Source data products, Master data products & Insight data products.
Document Data Architecture artifacts for different Data Products and solutions and perform peer review across various functions.
Support Data Engineering and BI Engineering teams during the build phase
Review Data models development, validate and provide deployment approval
Work closely with data stewards and governance functions to continuously improve data quality and enhance the reliability of data model(s).
Simplify the existing data architecture, delivering reusable services and cost-saving opportunities in line with the policies and standards of the company
Leads and participates in the peer review and quality assurance of project architectural artifacts across the Data Architecture group through governance forums
Collaborate and contribute to the development and enhancement of standards, guidelines, and best practices within Data Architecture discipline.
Works with Product owners, Business stewards, Data Scientists and end users to understand data consumers’ needs and develop data products/ data solutions
Evaluates and recommends emerging technologies for data management, storage, and analytics

Education

A bachelor’s degree in computer science, data science, engineering, or related field

Experience

At least five years of relevant experience in design and implementation of data models for enterprise data warehouse initiatives
Translate business requirements and ability to guide solution design & architecture in developing Data Products
Develop scalable, high-performance, and reusable data models that can be efficiently utilized across different data initiatives and help in generating actionable insights
Work collaboratively with data stewardship and governance functions to continuously improve data quality and enhance the reliability of data models
Ability to navigate and collaborate with cross-functional teams involving data scientists, business analysts, and stakeholders
Strong Business Process and Functional understanding with an Analytical background
CPG experience with knowledge in domain specific concepts is a plus
Knowledge on Agile methodologies with experience working on tools such as Jira & Confluence

Skills

Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP), real-time data distribution (Kafka, Dataflow), and modern data warehouse tools (Snowflake)
Experience with database technologies such as SQL, NoSQL, Snowflake, HANA
Understanding of entity-relationship modeling, metadata systems, and data quality tools and techniques
Experience building enterprise data models (Logical, Physical, Conceptual) and data modeling tool experience a plus (ERWIN, ER/STUDIO, etc.)
Strong Business Process and SAP functional understanding with an analytics background (preferred SAP ECC/S4, BW, HANA, BI, ARIBA experience) is a plus
Expert-level SQL skills
Experience with enterprise scale data engineering orchestration frameworks/ELT tools and common data engineering Python libraries (dbt, pandas, great expectations, etc.) is a plus
Experience with business intelligence tools and technologies such as Power BI & Tableau
Strong analytical and problem-solving skills
Understanding of Data Governance principles and practices including Data Quality, Data Security and compliance
Ability to think strategically on the use of data within the Organization that support both current and future needs.
Excellent communication and interpersonal skills for stakeholder management and cross-functional collaboration.

Location(s)

Ahmedabad – Mondeal Heights – GBS Center

Kraft Heinz is an Equal Opportunity Employer – Underrepresented Ethnic Minority Groups/Women/Veterans/Individuals with Disabilities/Sexual Orientation/Gender Identity and other protected classes.

Apply Now

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