Senior Solutions Architect

Hyper Lychee Labs; Maharashtra; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

Hyper Lychee Labs in Maharashtra, India seeks a Senior Solutions Architect to join the Professional Services team. The candidate will lead architectural design and development of scalable data solutions using Hadoop, NiFi, Spark, and related technologies.

The role is client-facing, requiring strong communication and the ability to translate customer needs into technical requirements, while guiding project delivery across enterprise environments.

Qualifications

• 12+ years of IT experience with at least 4+ years in Hadoop/NiFi and data engineering.
• Hands-on experience developing, testing, and implementing low-latency Big Data pipelines.
• Production experience in data engineering, data management, cluster management, and/or analytics.
• Experience querying data in HDFS environments using Apache Hive.
• Experience implementing MapReduce and Spark jobs.
• Experience setting up and managing multi-node Hadoop clusters.
• Experience in systems administration or DevOps using one or more open-source OSes.
• Experience in data warehouse design, ETL, and data integration architecture.
• Experience implementing operational best practices, including alerting, monitoring, and metadata management.
• Strong understanding of enterprise security practices (LDAP, Kerberos).
• Experience with configuration management tools (Ansible, Puppet, Chef).
• Familiarity with Bash, Python, Perl scripting languages.
• Experience with REST/JSON or XML/SOAP APIs.
• Understanding of Java ecosystem with debugging/profiling tools (jstack, jmap, jconsole) and logging tools (Log4j, JMX).
• Ability to translate customer requirements into technical requirements.
• Excellent verbal and written communication skills.

Responsibilities

• Work with customer business and technical teams to understand requirements and develop solutions.
• Design scalable data pipelines to ingest and analyze large data volumes from multiple sources.
• Recommend standard design patterns for Hadoop-based deployments.
• Document and present architectures to customer tech teams.
• Collaborate with internal teams to ensure successful project delivery and satisfaction.
• Design data models for storage/retrieval with data quality checks.
• Build, tune, and maintain data pipelines using Hadoop, NiFi or related tools.
• Install, deploy, upgrade, manage Hadoop clusters.
• Prepare technical docs, status reports, and knowledge-base articles.
• Stay updated on Hadoop, NiFi, and Big Data ecosystem.

Skills

Big Data

Hadoop

NiFi

Spark

Data engineering

Low-latency pipelines

Analytics

REST/JSON APIs

Java ecosystem

Communication

Tools

Hadoop ecosystem tooling

Hive

MapReduce

JVM languages (Java/Scala)

Ansible/Puppet/Chef

Bash/Python/Perl

Job description

Seniority Level:

Mid-Senior Level

Job Description

We are looking for an experienced Senior Solutions Architect to join the Professional Services team. The ideal candidate will have strong expertise in Big Data technologies, particularly Hadoop, Apache NiFi, Spark, and data engineering, along with experience designing and implementing scalable data solutions.

This is a client-facing role that combines technical architecture, consulting, solution design, and development to solve complex data challenges across large enterprise environments.

Key Responsibilities

• Work directly with customer business and technical teams to understand requirements and develop high-quality solutions.
• Design highly scalable and reliable data pipelines to consume, integrate, and analyze large volumes of data from multiple sources.
• Understand Big Data use cases and recommend standard design and implementation patterns for Hadoop-based deployments.
• Document and present complex architectures to customers' technical teams.
• Collaborate with internal teams to ensure successful project delivery and customer satisfaction.
• Design effective data models for optimal storage and retrieval, including data quality checks.
• Design, build, tune, and maintain data pipelines using Hadoop, Apache NiFi, or related data integration technologies.
• Install, deploy, upgrade, manage, and operate large Hadoop clusters.
• Prepare technical documentation, customer status reports, and knowledge-base articles.
• Stay updated on Hadoop, NiFi, and the broader Big Data technology ecosystem.

Required Skills & Qualifications

• 12+ years of overall IT experience, with at least 4+ years of production experience in Hadoop and/or NiFi and data engineering.
• Hands-on experience developing, testing, and implementing low-latency Big Data pipelines.
• Production experience in data engineering, data management, cluster management, and/or analytics.
• Experience querying data in HDFS environments using tools such as Apache Hive.
• Experience implementing MapReduce and Spark jobs.
• Experience setting up and managing multi-node Hadoop clusters.
• Experience in systems administration or DevOps using one or more open-source operating systems.
• Experience in data warehouse design, ETL (Extract, Transform, Load), and efficient data warehouse architecture.
• Experience implementing operational best practices, including alerting, monitoring, and metadata management.
• Strong understanding of enterprise security practices and solutions such as LDAP and Kerberos.
• Experience with configuration management tools such as Ansible, Puppet, or Chef.
• Familiarity with scripting languages such as Bash, Python, and/or Perl.
• Experience working with network-based APIs, preferably REST/JSON or XML/SOAP.
• Understanding of the Java ecosystem and enterprise tools, including debugging and profiling tools such as jstack, jmap, and jconsole, and logging and monitoring tools such as Log4j and JMX.
• Ability to translate customer requirements into technical requirements.
• Excellent verbal and written communication skills.

Good To Have

• Experience with Apache NiFi.
• Knowledge of Site Reliability Engineering (SRE) concepts and practices.
• Knowledge of data management concepts, including data warehousing, ETL, and data integration.
• Experience with a compiled programming language, preferably a JVM-based language such as Java or Scala.
• Experience with streaming or micro-batch processing frameworks, preferably Kafka and Spark.

Additional Information

• Willingness to travel across the Asia-Pacific region and work with customers across multiple industries.
• Big Data Developers interested in systems administration and consulting are also encouraged to apply.

About Us

Hyper Lychee Labs is an IT services and consulting company committed to delivering innovative and impactful solutions to a diverse client base, including Fortune 500 companies, the Government of India, and forward-thinking startups. With a focus on leveraging technology for transformation, the company provides custom software development, complex systems implementation, and strategic consulting. Our team of talented professionals collaborates to ensure exceptional results tailored to clients' needs. Dedicated to fostering a culture of creativity, diversity, and inclusion, Hyper Lychee Labs strives to empower businesses to thrive in a rapidly evolving world.