Data Platform Engineer
Full Time
full-time
7 Nov 2025
Verified by Turrior
Content + Source + Freshness • 17 Dec 2025 • 95% confidence
85 / 100
Offer value
High score given the demand for data professionals, clear career pathways, and opportunities to work on significant data projects.
- Lead significant projects in data architecture
- Join a high-demand field with growth opportunities
- Influence company data strategies and mentorship paths
Pros
- Significant role in shaping data architecture and strategies
- Strong market demand for skilled data architects
- Opportunities to mentor and influence junior team members
Cons
- Requirements for extensive experience can limit some candidates
- Role may involve heavy workloads during project phases
- Potential for high responsibility with limited guidance
Who it's for
Senior-level • On-site
Good fit
- Senior data architects and engineers
- Candidates who thrive in leadership roles
- Professionals passionate about innovative data solutions
Not recommended for
- Newcomers to the data architecture field
- Individuals not interested in complex data projects
- Job seekers looking for lower responsibility levels
Motivation fit
Desire to innovate in data architectureInterest in senior-level responsibilities and mentorshipWillingness to take charge of complex data projects
Key skills
Data architecture and modelingProficiency in Snowflake platformCollaborative skills for mentoringKnowledge of data governance and security
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."
