Data Platform Engineer
Full Time
full-time
21 Oct 2025
Verified by Turrior
Content + Source + Freshness • 17 Dec 2025 • 95% confidence
85 / 100
Offer value
The position offers a significant opportunity for growth in a prominent organization, backed by a clear skillset requirement and professional development.
- Competitive position in a leading tech organization
- Focus on cutting-edge data solutions
- Opportunity to play a pivotal role in architecture design
- Requires significant experience in data and cloud technologies
Pros
- Strong employer brand (Accenture) with global influence
- Focus on advanced technologies (Snowflake) and architecture best practices
- Collaborative environment with opportunities to mentor and lead
Cons
- High experience requirement (12+) may deter some candidates
- Potentially long work hours in high-demand projects
- Limited remote work flexibility mentioned
Who it's for
Senior • On-site / Hybrid possible
Good fit
- Senior data architects with 12+ years of experience
- Professionals passionate about data strategy and cloud solutions
- Individuals seeking leadership roles in technology
Not recommended for
- Recent graduates or those without relevant experience
- Candidates preferring fully remote working options
- Individuals not open to team leadership opportunities
Motivation fit
Desire to thrive in a high-tech, fast-paced environmentInterest in data integration challenges and architecture strategiesAiming to contribute to impactful projects at a global scale
Key skills
Data architecture principlesSnowflake platform expertiseData modeling techniquesETL processes and tools
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."
