Architect - Data Platform

Description

About PhonePe: Our goal is to make digital payments so easy, safe, and universally accepted that people never feel the need to carry cash or cards again. We believe India is at the cusp of a new mobile revolution, which will change the way we manage our money on the go. We see ourselves facilitating this change, through technology and dogged customer centricity.

At PhonePe, we take extra care to make sure you give your best at work, every day! And creating the right environment for you is just one of the things we do.  We empower people and trust them to do the right thing. Here, you own your work from start to finish, right from day one.

Being enthusiastic about tech is a big part of being at PhonePe.

If you like building technology that impacts millions, ideating with some of the best minds in the country, and executing your dreams with purpose and speed, join us!

Position Overview:

We are looking for a highly skilled Software Architect with extensive experience in Big Data technologies to design, develop, and implement scalable solutions that leverage large datasets. The ideal candidate will have a deep understanding of Big Data frameworks, such as Hadoop, Spark, and Kafka, as well as proficiency in programming languages like Java, Python, or Scala. The Software Architect will play a critical role in shaping our technical architecture and driving innovation in our data solutions.

Responsibilities:

• Design and architect end-to-end Big Data solutions that meet the business requirements and scalability needs.
• Lead the development and implementation of data pipelines, ETL processes, and data integration solutions.
• Evaluate and recommend appropriate Big Data technologies, tools, and frameworks based on project requirements.
• Collaborate with cross-functional teams, including data engineers, data scientists, and business stakeholders, to understand and address technical challenges.
• Provide technical leadership and mentorship to junior team members, ensuring best practices and coding standards are followed.
• Stay abreast of emerging trends and advancements in Big Data technologies, and assess their potential impact on our architecture and solutions.
• Conduct performance tuning and optimization of Big Data applications to enhance efficiency and throughput.

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• 8+ years of experience in software development, with a focus on Big Data technologies.
• Proven expertise in designing and architecting scalable Big Data solutions using Hadoop, Spark, Kafka, etc.
• Strong programming skills in Java, Python, Scala, or similar languages.
• Experience with distributed computing, parallel processing, and cluster management.
• Solid understanding of data modeling, database design, and SQL.
• Excellent problem-solving and analytical abilities, with a keen attention to detail.
• Strong communication skills with the ability to effectively collaborate with diverse teams.
• Proven track record of delivering high-quality software solutions on time and within budget.

Preferred Qualifications:

• Experience working with petabyte-scale datasets.
• Familiarity with on-premises data center environments.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Certification in Big Data technologies (e.g., Cloudera, Hortonworks, Databricks).
• Knowledge of machine learning algorithms and techniques.
• Familiarity with Agile development methodologies.