Data Platform Engineer
Full Time
full-time
13 Nov 2025
Verified by Turrior
Content + Source + Freshness • 17 Dec 2025 • 95% confidence
85 / 100
Offer value
Reflects strong expectations for technical aptitude and collaboration in a respected organization.
- Be part of a prestigious firm like Accenture
- Work on crucial data engineering projects
- Great potential for career growth and skill enhancement
- Requires expertise in Snowflake and related technologies
Pros
- Opportunity to work on influential projects at Accenture
- Significant hands-on experience with Snowflake and data solutions
- Path to further career development and technical excellence
Cons
- Possibly overwhelming requirements might deter less experienced applicants
- Demanding pace of work could lead to stress
- Lack of clear salary expectations could hinder negotiations
Who it's for
Senior / Lead • Collaborative office environment
Good fit
- Experienced data architects seeking advancement
- Team players excited to tackle complex data challenges
- Candidates eager to build data-driven solutions
Not recommended for
- Those without significant experience
- Individuals who prefer strictly remote environments
- Professionals averse to collaboration
Motivation fit
Desire to lead impactful data architecture initiativesInterest in mentoring and supporting junior teammatesCommitment to innovate in data solutions
Key skills
Expertise in Snowflake architectureCollaboration and team leadership skillsStrong background in data modelingKnowledge of ETL and data integration
Score: 85/100 AI verified analysis
About the job
Project Role : Data Platform Engineer
Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.
Must have skills : Snowflake Data Warehouse
Good to have skills : NA
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary: As a Data Architect, you will define the data requirements and structure for the application. Your typical day involves modeling and designing the application data structure, storage, and integration, ensuring that the data architecture aligns with the overall business objectives and technical specifications. You will collaborate with various teams to ensure that the data architecture supports the application functionality and performance needs, while also considering scalability and security aspects. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Expected to provide solutions to problems that apply across multiple teams. - Facilitate workshops and discussions to gather requirements and feedback from stakeholders. - Mentor junior professionals in best practices and emerging trends in data architecture. Professional & Technical Skills: - Must Have Skills: Proficiency in Data Architecture Principles. Proficiency in Snowflake - In-depth knowledge of Snowflake cloud data platform — including schema design, performance tuning, query optimization, and Snow pipe, Streams & Tasks, and Time Travel. - Strong understanding of data modeling techniques and methodologies. - Experience with data integration tools and ETL processes. - Knowledge of database management systems and data storage solutions. - Familiarity with cloud-based data architecture and services. Additional Information: - The candidate should have minimum 12 years of experience in Data Architecture Principles. - A 15-year full time education is required."
Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.
Must have skills : Snowflake Data Warehouse
Good to have skills : NA
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary: As a Data Architect, you will define the data requirements and structure for the application. Your typical day involves modeling and designing the application data structure, storage, and integration, ensuring that the data architecture aligns with the overall business objectives and technical specifications. You will collaborate with various teams to ensure that the data architecture supports the application functionality and performance needs, while also considering scalability and security aspects. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Expected to provide solutions to problems that apply across multiple teams. - Facilitate workshops and discussions to gather requirements and feedback from stakeholders. - Mentor junior professionals in best practices and emerging trends in data architecture. Professional & Technical Skills: - Must Have Skills: Proficiency in Data Architecture Principles. Proficiency in Snowflake - In-depth knowledge of Snowflake cloud data platform — including schema design, performance tuning, query optimization, and Snow pipe, Streams & Tasks, and Time Travel. - Strong understanding of data modeling techniques and methodologies. - Experience with data integration tools and ETL processes. - Knowledge of database management systems and data storage solutions. - Familiarity with cloud-based data architecture and services. Additional Information: - The candidate should have minimum 12 years of experience in Data Architecture Principles. - A 15-year full time education is required."
