At Fenergo, our aim is to future-proof Client Lifecyle Management through our award-winning SaaS based solutions that empower financial institutions.
With the expertise of our 700 employees across 11 offices worldwide we enable our clients to improve operational efficiencies and return on investment, manage compliance with KYC, AML and reduce risk with continuous monitoring of clients and transactions throughout the client lifecycle.
Fenergo dynamically manages any client type, any product type and every client journey for all segments, channels and devices.
As a company we value collaboration with cross functional teams, driving employee engagement and are champions of diversity and inclusion.
As we continue to grow and evolve, we look for team members who will make a meaningful impact, contribute to a positive work environment and shape the future of our organisation.
Join us as we build a workplace where talent thrives and together, we achieve new heights of success Requirements What Will You Do? As a Senior Data Platform Architect, you will lead the design, implementation, and operation of a data lake using AWS data lake technologies.
You will with work closely with a ringfenced team of system engineers, data analysts and a delivery manager to develop robust, scalable, and secure data infrastructure that aligns with our business objectives and analytics needs.
This role requires deep expertise in AWS cloud technologies, hands-on implementation skills, and the ability to guide teams in deploying advanced data solutions
Responsibilities:
Design, Build, and Operate Data Lakes - Architect, develop, and manage scalable data lake solutions using AWS services such as Amazon S3, AWS Glue, AWS Lake Formation, and Amazon Athena.
Data Ingestion Pipelines - Design and implement data ingestion pipelines using AWS Glue, Amazon Kinesis, and other relevant services to ensure efficient, real-time data collection.
Data Processing and Transformation - Utilise AWS EMR, Apache Spark, and AWS Lambda for ETL processes and large-scale data processing.
Data Cataloguing and Management - Implement and manage metadata using AWS Glue Data Catalog to enhance data discoverability and governance.
Collaboration with Teams - Partner with development, data engineering, and analytics teams to integrate applications and analytics platforms with the data lake.
Performance Optimisation - Continuously improve the performance and cost efficiency of the data lake architecture.
Security and Compliance - Implement robust data security measures using AWS IAM, AWS KMS, and AWS Lake Formation to maintain compliance with data regulations and best practices.
Technical Leadership - Provide mentorship and technical direction to team members, ensuring best practices are followed in data architecture and cloud deployments.
Stay Current - Maintain expertise in emerging AWS data technologies and trends, applying them were beneficial to business objectives. Expectations Bachelor's degree in Computer Science, Engineering, or related field. 5+ years of experience in data engineering or related roles.
3+ Years experience in a data architect role, providing technical direction to the organisation and leadership to junior engineers Experience in leading and managing junior engineers Strong experience with cloud platforms like AWS and its associated services Experience with Glue Jobs, Apache Spark or Python and SQL Strong problem-solving and analytical skills.
Experience with data visualization tools like Tableau or Power BI.
Experience in implementing robust security measures and ensuring compliance with regulations and best practice Ability to write clean, maintainable, and efficient code.
Strong attention to detail and commitment to data quality.
Experience with orchestration tools like Apache Airflow would be advantageous Our Promise To You We are striving to become global leaders across all of the categories we operate in and as part of that we are a high-performing highly collaborative team that works cross functionally to accommodate our clients needs.
What we value is at the CORE of how we succeed:
Collaboration:
Working together to achieve our best Outcomes: Drive Success in every engagement Respect: A collective feeling of inclusion and belonging Excellence: Continuously raising the bar Benefits Healthcare cover through the VHI Company pension contribution Life assurance/ Income protection 23 days annual leave 3 company days Annual bonus opportunity Work From Home set-up allowance Opportunity to work with clients and colleagues on a global scale for a world leader in Client Lifecycle Management Other competitive company benefits, such as flexible working hours, work from home policy, bike to work scheme, sports and social committee, weekly fitness and sports classes and much more Buddy system for all new starters Collaborative working environment Extensive training programs, classroom and online, through 'Fenergo University' Opportunity to work on a cutting-edge Fintech Product, using the latest of tools and technologies Defined training and role tracking to allow you see and assess your own career development and progress.
Active sports and social club State of the art offices in the heart of Dublin's Docklands with great facilities, canteen and games area Diversity, Equality, and Inclusivity Fenergo is an equal opportunity employer.
We are committed to creating a diverse and inclusive workplace, where all employees are valued, respected, and can reach their full potential.
We do not discriminate based on race, colour, religion, sex, national origin, age, disability, or any other characteristic protected by applicable law.
Our hiring decisions are based solely on qualifications, merit, and business needs.
We believe that a diverse workforce enriches our company culture, fosters innovation, and contributes to our overall success.
We strive to provide a fair and supportive environment for all employees, promoting equal opportunities for career development and advancement.
We encourage all qualified individuals to apply for employment opportunities and join our team in contributing to a collaborative and inclusive work environment.