We are looking for a Data Architect with creativity and results-oriented critical thinking to meet complex challenges and develop new strategies for acquiring, analyzing, modeling and storing data.

In this role you will guide the company into the future and utilize the latest technology and information management methodologies to meet our requirements for effective logical data modeling, metadata management and database warehouse domains. You will be working with experts in a variety of industries, including computer science and software development, as well as department heads and senior executives to integrate new technologies and refine system performance.

We reward dedicated performance with exceptional pay and benefits, as well as tuition reimbursement and career growth opportunities.

What Youll Do

Define data retention policies
Monitor performance and advise any necessary infrastructure changes
Mentor junior engineers and work with other architects to deliver best in class solutions
Implement ETL / ELT process and orchestration of data flows
Recommend and drive adoption of newer tools and techniques from the big data ecosystem

Expertise Youll Bring

10+ years in industry, building and managing big data systems
Building, monitoring, and optimizing reliable and cost-efficient pipelines for SaaS is a must
Building stream-processing systems, using solutions such as Storm or Spark-Streaming
Dealing and integrating with data storage systems like SQL and NoSQL databases, file systems and object storage like s3
Reporting solutions like Pentaho, PowerBI, Looker including customizations
Developing high concurrency, high performance applications that are database-intensive and have interactive, browser-based clients
Working with SaaS based data management products will be an added advantage
Proficiency and expertise in Cloudera / Hortonworks
Spark
HDF and NiFi
RDBMS, NoSQL like Vertica, Redshift, Data Modelling with physical design and SQL performance optimization
Messaging systems, JMS, Active MQ, Rabbit MQ, Kafka
Big Data technology like Hadoop, Spark, NoSQL based data-warehousing solutions
Data warehousing, reporting including customization, Hadoop, Spark, Kafka, Core java, Spring/IOC, Design patterns
Big Data querying tools, such as Pig, Hive, and Impala
Open-source technologies and databases (SQL & NoSQL)
Proficient understanding of distributed computing principles
Ability to solve any ongoing issues with operating the cluster
Scale data pipelines using open-source components and AWS services
Cloud (AWS), provisioning, capacity planning and performance analysis at various levels
Web-based SOA architecture implementation with design pattern experience will be an added advantage

Big Data Architect

Big Data Architect