Greetings from RSquareSoft Technologies
Who We Are
RSquareSoft Technologies is a Pune-based software product company focused on AI, ML, and Data Analytics. We provide end-to-end solutions, including product development, outsourcing, and IT consulting. Our mission is to revolutionize outsourcing in India, empower young minds in software development, and offer dedicated service to every customer.
Key Aspects of RSquareSoft Technologies
- Focus on AI, ML, and Data Analytics: We specialize in building innovative and scalable solutions.
- Product Development: We develop software products that improve efficiency, productivity, and business performance.
- IT Services: We offer software development, database migration, and cloud solutions.
- Outsourcing Solutions: We aim to transform the outsourcing landscape in India.
- Employee Training and Mentoring: We nurture young talents with continuous mentorship.
- Customer-centric Approach: We ensure transparent communication and dedicated service.
- Innovation and Excellence: We are driven by innovation and a commitment to quality.
Job Title: Solution Architect
Location: Pune
Experience: 6–11 Years
Role Overview
We are looking for a Solution Architect with a strong Data Engineering background to drive the architecture, design, and technical direction of complex, cloud-based data platforms. This role requires deep hands-on expertise in big data technologies along with the ability to design scalable, secure, and high-performance data solutions aligned with business needs.
Key Responsibilities
- Own end-to-end solution architecture for cloud-native data platforms and big data ecosystems.
- Design scalable, resilient, and secure architectures using AWS and distributed data processing frameworks.
- Lead architecture and design discussions, including high-level and low-level design reviews.
- Provide hands-on technical guidance in Python, PySpark, Spark, and Hadoop ecosystem.
- Design and optimize data pipelines, ETL/ELT workflows, and large-scale data processing systems.
- Define and enforce architectural standards, best practices, and design principles for data engineering.
- Collaborate with engineering, data, product, and business stakeholders to translate requirements into data-driven solutions.
- Review critical technical designs and implementations to ensure alignment with target data architecture.
- Identify and mitigate architectural risks related to performance, scalability, data quality, and cost optimization.
- Support teams in resolving complex data engineering and system design challenges.
Required Skills & Expertise
- Strong experience in Cloud Architecture (preferably AWS) including data services (S3, EMR, Glue, Redshift, etc.).
- Solid background in Big Data technologies and distributed systems.
- Strong programming experience in Python with expertise in PySpark/Spark.
- Hands-on experience with Hadoop ecosystem (HDFS, Hive, YARN, etc.).
- Expertise in building and optimizing large-scale data pipelines and batch/stream processing systems.
- Strong SQL skills for data modeling, transformation, and performance optimization.
- Proven expertise in system design and data architecture for scalable and distributed systems.
- Experience creating and reviewing HLDs and LLDs.
Good to Have
- Experience with real-time/streaming technologies (Kafka, Spark Streaming, etc.).
- Exposure to data lake / data warehouse architectures.
- Experience in financial services or regulated domains.
- Familiarity with data governance, security, and compliance in cloud environments.
Leadership & Soft Skills
- Ability to influence technical direction across teams without direct people management.
- Strong communication skills to articulate architectural decisions to both technical and non-technical stakeholders.
- Structured problem-solving and decision-making approach.
Pay: ₹3,000,000.00 - ₹5,000,000.00 per year
Work Location: In person
