Associate Technical Architect

3 weeks ago

Bengaluru, India Quantiphi Full time

Role : Associate Technical Architect - Data

Experience Level : 6 to 8 Years

Work location : Mumbai, Bangalore & Trivandrum


What you’ll do:

You will be working as an Associate Data Architect within the healthcare domain, designing and delivering big data pipelines for structured and unstructured data that are running across multiple geographies, helping healthcare organizations achieve their business goals with use of data ingestion technologies, cloud services & DevOps. You will be working with Architects from other specialties such as Cloud engineering, Software engineering, ML engineering to create platforms, solutions and applications that cater to latest trends in the healthcare industry such as digital diagnosis, software as a medical product, AI marketplace, amongst others.


Role & Responsibilities:

● Work with cloud engineers and customers to solve big data problems by developing utilities for migration, storage and processing on Google Cloud.

● Design and build a cloud migration strategy for cloud and on-premise applications.

● Diagnose and troubleshoot complex distributed systems problems and develop solutions with a significant impact at massive scale.

● Build tools to ingest and jobs to process several terabytes or petabytes per day.

● Design and develop next-gen storage and compute solutions for several large customers.

● Communicate with a wide set of teams, including Infrastructure, Network, Engineering, DevOps, SiteOps teams, and cloud customers.

● Build advanced tooling for automation, testing, monitoring, administration, and data operations across multiple cloud clusters.

● Better understanding of Data modeling and governance


Skills expectation:

Must have:-

  • 6+ years’ experience of Hands-on in data structures, distributed systems, Hadoop and spark, SQL and NoSQL Databases
  • Strong software development skills in at least one of: Python, Java, C/C++, or Scala. SQL commands
  • Experience building and deploying cloud-based solutions at scale.
  • Experience in developing Big Data solutions (migration, storage, processing)
  • Experience building and supporting large-scale systems in a production environment
  • Designing and development of ETL pipeline
  • Requirement gathering and understanding of the problem statement
  • End-to-end ownership of the entire delivery of the project
  • Designing and documentation of the solution
  • Knowledge of RDBMS & NoSQL databases o Any of Kafka, Kinesis, Cloud pub-sub
  • Cloud Platforms – AWS, GCP or Azure Big Data Distributions
  • Any of Apache Hadoop/CDH/HDP/EMR/Google DataProc/HD-Insights Distributed processing Frameworks.
  • One or more of MapReduce, Apache Spark, Apache Storm, Apache Flink. Database/warehouse
  • Hive, HBase, and at least one cloud native services Orchestration Frameworks
  • Any of Airflow, Oozie, Apache NiFi, Google DataFlow Message/Event Solutions
  • Reporting tool exposure (at least one of Power BI, tableau, Looker)
  • Enable best practices w.r.t data handling Leadership qualities
  • Provide thought leadership to the team and bring industry best practices to the project.
  • Ability to lead technology teams and provide them mentorship / support to accelerate performance.
  • Ability to handle conflicts effectively by managing internal and external stakeholders
  • Experience in leading multiple large projects as well as a deep understanding of Agile developments
  • Effective communication with all the stakeholders involved.
  • Communicate clearly about complex subjects and technical plans with technical and non technical audiences.


Good to have:

  • Kubernetes or Swarm
  • Terraforms,
  • Container Orchestration
  • Project execution methodologies

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