Cloudera

Solutions Architect

India · Work style not stated · Full time

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About the role

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EmployerCloudera
LocationIndia
Work styleWork style not stated
Employment typeFull time
Employer posted11 Sep 2026

Business Area:

Professional Services

Seniority Level:

Mid-Senior level

Job Description:

At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises.

Cloudera is seeking a SeniorSolutions Architect to join its APAC Professional Services team. In this role you’ll have the opportunity to develop massively scalable solutions to solve complex data problems using Hadoop, NiFi, Spark and related Big Data technology. This role is a client facing opportunity that combines consulting skills with deep technical design and development in the Big Data space. This role will present the successful candidate the opportunity to travel across Asia Pacific and across multiple industries and large customer organisations.

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As the SeniorSolutions Architect you will:

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 amounts of data from various sources.

Able to understand big data use-cases and recommend standard design, implementation patterns used in Hadoop-based deployments

Able to document and present complex architectures for the customer’s technical teams

Work closely with Cloudera teams at all levels to ensure project and customer success

Design effective data models for optimal storage and retrieval, deploy inclusive data quality checks to ensure high quality of data

Design, build, tune and maintain data pipelines using Hadoop, NiFi or related data integration technologies

Install, deploy, augment, upgrade, manage and operate large Hadoop clusters

Write and produce technical documentation, customer status reports and knowledge-base articles

Keep up with current Hadoop, NiFi, Big Data ecosystem / technologies.

We’re excited about you if you have:

Overall 12+ years IT experience, with at least 4+ years of production experience working with Hadoop and/or NiFi, data engineering.

Hands-on experience with all aspects of developing, testing and implementing low-latency big data pipelines.

Demonstrated production experience in data engineering, data management, cluster management and/or analytics domains.

Experience designing data queries against data in the HDFS environment using tools such as Apache Hive

Experience implementing MapReduce, Spark jobs

Experience setting up multi-node Hadoop clusters

Experience in systems administration or DevOps experience with one or more open-source operating systems [Big Data Developers interested in Administration and consulting can also apply]

Experience with Data Warehouse design, ETL (Extraction, Transformation & Load), architecting efficient software designs for DW platform.

Experience implementing operational best practices such as alerting, monitoring, and metadata management.

Strong understanding with various enterprise security practices and solutions such as LDAP and/or Kerberos

Experience using configuration management tools such as Ansible, Puppet or Chef

Familiarity with scripting tools such as bash shell scripts, Python and/or Perl

Experience with Apache NiFi is desired

Significant previous work writing to network-based APIs, preferably REST/JSON or XML/SOAP

Understanding of the Java ecosystem and enterprise offerings, including debugging and profiling tools (e.g. jstack, jmap, jconsole), logging and monitoring tools (log4j, JMX)

Ability to understand and translate customer requirements into technical requirements

Excellent verbal and written communications

You may also have:

Site Reliability Engineering concepts and practices

Knowledge of the data management eco-system including: Concepts of data warehousing, ETL, data integration, etc.

Experience using a compiled programming language, preferably one that runs on the JVM (Java, Scala, etc)

Experience coding with streaming/micro-batch compute frameworks, preferably Kafka, Spark

What you can expect from us:

Generous PTO Policy

Support work life balance with Unplugged Days

Flexible WFH Policy

Mental & Physical Wellness programs

Phone and Internet Reimbursement program

Access to Continued Career Development

Comprehensive Benefits and Competitive Packages

Paid Volunteer Time

Employee Resource Groups

EEO/VEVRAA

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