Data Platform Engineer
Full Time
full-time
29 Oct 2025
Verified by Turrior
Content + Source + Freshness • 17 Dec 2025 • 95% confidence
85 / 100
Offer value
The role provides a distinguished opportunity within a renowned corporation, promoting professional growth through innovation in data technologies.
- Attractive role in a leading tech company
- Work with advanced data technologies
- Ability to shape data solution strategies
- Requires deep technical experience and leadership capacity
Pros
- Employment within a well-respected company (Accenture)
- Engagement with innovative technology (Snowflake)
- Further development in leadership and mentoring
Cons
- High experience threshold may exclude less seasoned applicants
- Long working hours typical in project-driven environments
- No flexibility regarding remote working from what is indicated
Who it's for
Senior • On-site / Hybrid possible
Good fit
- Professionals with significant data architecture background
- Experienced team leaders in data sectors
- Individuals eager to work with advanced data solutions
Not recommended for
- Entry-level individuals lacking related experience
- Job seekers wanting fully flexible remote scenarios
- Professionals avoiding leadership or mentorship
Motivation fit
Keen interest in cutting-edge data integration technologiesDesire to have an impact on high-stakes projectsWillingness to collaborate and mentor aspiring engineers
Key skills
Expertise in data architectureIn-depth knowledge of Snowflake platformStrong team collaboration skillsData integration methodologies
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."
