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Full-time
bachelor degree
Posted 10d ago
~40 hrs/week
Responsibilities
The Data Platform Engineer contributes to the development and refinement of the data platform blueprint while collaborating with architects to ensure system cohesion. They are responsible for leading team efforts, making key technical decisions, and mentoring junior staff to optimize data integration processes.
Requirements
Candidates must have a minimum of 5 years of experience and proficiency in advanced data visualization techniques. A 15-year full-time education qualification is mandatory for this role.
Full job description
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 : Advanced Data Visualization Techniques Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education
Summary: As a Data Platform Engineer, a typical day involves contributing to the development and refinement of the data platform blueprint and design. This role requires close collaboration with Integration Architects and Data Architects to ensure seamless integration of various systems and data models. The position demands active engagement in aligning platform components to support organizational data needs, fostering a cohesive and efficient data environment. The engineer continuously works to enhance the platform s architecture, ensuring it meets evolving business requirements and supports scalable data solutions.
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. - Provide solutions to problems for their immediate team and across multiple teams. - Lead efforts to align data platform components with organizational goals and technical standards. - Facilitate communication and coordination between cross-functional teams to optimize data integration processes. - Mentor junior team members to support their professional growth and enhance team capabilities.
Professional & Technical Skills: - Must To Have Skills: Proficiency in Advanced Data Visualization Techniques. - Strong knowledge of data platform architectures and integration strategies. - Experience with designing and implementing scalable data models and workflows. - Ability to collaborate effectively with architects and technical teams to ensure system cohesion. - Familiarity with data governance and quality assurance practices. - Skilled in troubleshooting and resolving complex data platform issues.
Additional Information: - The candidate should have minimum 5 years of experience in Advanced Data Visualization Techniques. - This position is based at our PDC2C - SEZ location. - A 15 years full time education is required.
15 years full time education
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, militaryveteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicablelaw. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Related keywords
Data Platform EngineerData VisualizationIntegration ArchitectData ArchitectData Platform BlueprintSystem IntegrationScalable Data ModelsData GovernanceQuality AssuranceTechnical StandardsCross-functional TeamsMentoringAccenturePDC2CSEZData Environment
Accenture helps the world’s leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client-focused, AI-enabled, great place to work in the world. We bring together the talent of our approximately 786,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $70 billion in FY25 revenue. Visit us at accenture.com.
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