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Senior Data Platform Architect

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! 

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 
  • 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. 

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$120000K

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What You Should Know About Senior Data Platform Architect, Fenergo

At Fenergo, we are on a mission to future-proof Client Lifecycle Management through our award-winning SaaS solutions designed to empower financial institutions. We’re looking for a Senior Data Platform Architect to join our fantastic team. In this role, you’ll be at the forefront of designing, implementing, and operating a cutting-edge data lake utilizing AWS technologies. You will collaborate with a talented group of system engineers, data analysts, and a delivery manager to develop a robust data infrastructure that aligns seamlessly with our business objectives and analytics needs. Your deep expertise in AWS cloud technologies and hands-on implementation skills will be invaluable as you guide teams in deploying advanced data solutions. Whether it’s creating efficient data ingestion pipelines, enhancing data processing with Apache Spark, or ensuring compliance through rigorous security measures, your contributions will directly impact our clients’ ability to manage their operations effectively. We pride ourselves on fostering a positive work environment where collaboration and employee engagement are highly valued. Join us in shaping the future of Fenergo and being a part of a diverse team that champions innovation and inclusivity. Together, let’s achieve new heights of success as we continue to grow and evolve in an exciting industry!

Frequently Asked Questions (FAQs) for Senior Data Platform Architect Role at Fenergo
What are the key responsibilities of a Senior Data Platform Architect at Fenergo?

As a Senior Data Platform Architect at Fenergo, your primary responsibilities will include designing, building, and managing scalable data lake solutions using AWS services. You'll create robust data ingestion pipelines, optimize data processing using tools like AWS EMR and Apache Spark, and implement data cataloguing with AWS Glue. Collaboration with cross-functional teams to align analytics with business objectives will also be essential.

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What qualifications and experience are required for the Senior Data Platform Architect role at Fenergo?

To qualify for the Senior Data Platform Architect position at Fenergo, candidates should possess a Bachelor's degree in Computer Science, Engineering, or a related field. Additionally, you should have over 5 years of experience in data engineering and at least 3 years in a data architect role. A strong background in AWS services, data security measures, and experience in leading junior engineers is also crucial.

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What technologies should a Senior Data Platform Architect at Fenergo be familiar with?

A Senior Data Platform Architect at Fenergo should be well-versed in AWS technologies such as Amazon S3, AWS Glue, AWS Lake Formation, and AWS EMR. Familiarity with data processing tools like Apache Spark and orchestration tools like Apache Airflow is advantageous. Additionally, experience with data visualization tools like Tableau and adherence to best practices in data governance and compliance is essential.

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How does Fenergo support career development for Senior Data Platform Architects?

Fenergo is committed to the professional growth of our employees, including Senior Data Platform Architects. Our comprehensive development programs, like Fenergo University, provide extensive training both in classroom settings and online. We also offer mentorship opportunities and a clear career tracking system to help you assess your own development and progress within the organization.

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What is the company culture like for a Senior Data Platform Architect at Fenergo?

At Fenergo, the culture is all about collaboration, respect, and excellence. We prioritize a work environment that champions diversity and inclusion, allowing every employee to feel valued and supported. The Senior Data Platform Architect role encourages teamwork and innovation, providing opportunities to make a meaningful impact within a dynamic, forward-thinking organization.

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Common Interview Questions for Senior Data Platform Architect
Can you describe your experience with AWS services relevant to a data lake architecture?

In answering this question, highlight your specific experiences with AWS services like S3, Glue, and EMR. Discuss how you've implemented these technologies in previous projects, focusing on challenges you overcame and outcomes achieved to showcase your expertise.

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What strategies do you use to ensure data security and compliance in your architecture?

It's important to emphasize your familiarity with AWS security measures. Discuss using tools like AWS IAM and KMS for permission control and data encryption. Mention any frameworks or compliance standards you’ve worked with and how you ensured adherence in your previous roles.

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How do you approach the design of a data ingestion pipeline?

Detail the steps you take in designing data ingestion pipelines. Start by discussing your approach to understanding data sources, then mention how you choose appropriate AWS services to ensure efficient and scalable data collection. Highlight any projects where you implemented this successfully.

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What role does collaboration play in a data architecture project?

In your response, emphasize the importance of working closely with cross-functional teams. Discuss how collaboration enhances project outcomes and innovation, providing examples of successful collaborations you’ve been involved in and what impact it had on the project.

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Can you give an example of how you have optimized a data solution in a previous role?

Be prepared to share a specific example where you improved the performance or cost efficiency of a data solution. Discuss the challenges faced, the steps taken to achieve optimization, and the results you were able to measure, highlighting your problem-solving skills.

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What tools do you prefer for data processing and why?

Mention tools you are comfortable with, such as Apache Spark and AWS Lambda. Discuss why you prefer these tools based on your experiences, including their efficiency for batch processing, real-time data handling, or integrations with other platforms.

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How do you keep up-to-date with new trends in AWS data technologies?

Discuss the methods you use to stay informed, such as attending conferences, participating in webinars, or following industry blogs and thought leaders. Convey your commitment to continuous learning and adapting to new technologies.

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Describe a time you mentored a junior engineer on a data project.

Provide an example that highlights your leadership skills. Discuss the mentoring approach you took, the challenges faced by the junior engineer, and how you helped them overcome those challenges, focusing on the impact it had on their development.

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What challenges do you foresee in implementing a data lake architecture and how would you address them?

Talk about common challenges such as data integration, scalability, or performance issues. For each challenge, explain strategies you would employ to mitigate risks, drawing from experiences from past projects where you successfully overcame similar obstacles.

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How do you ensure data quality in your projects?

Explain the steps you take to ensure data quality at each stage of the data lifecycle. Discuss methodologies or tools you use for validation and error checking, emphasizing the importance of maintaining high data standards in your architecture.

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Fenergo is an award-winning provider of enterprise-wide Client and Counterparty Data Management, Client Onboarding Lifecycle Management and Enterprise Compliance software solutions for financial institutions. Its market-leading enterprise platform...

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Full-time, remote
DATE POSTED
December 18, 2024

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