Cloud Data Architect Professional

1 week ago

Bengaluru, Karnataka, India tsworks Full time
Role Summary

We are seeking a highly skilled Senior Cloud Data Architect to join our Digital Services Team in Vancouver, British Columbia. As a key member of our team, you will play a crucial role in designing and executing data solutions using industry-leading technologies.

About This Role

This is a contract-to-perm position reporting to the Chief Technology Officer, with a hybrid work arrangement requiring 2-3 days per week on-site at client locations. Initially focused on operational readiness and maintenance of existing applications, this role will transition into build and maintenance responsibilities in the long run.

  • Position: Senior Cloud Data Architect
  • Experience: 10+ Years
  • Location: Vancouver, British Columbia
Mandatory Required Qualifications

To be successful in this role, you must possess:

  • 10 Years of hands-on experience in Information Technology, with 5+ years of experience designing and executing data solutions.
  • Excellent problem-solving and communication skills.
  • Hands-on experience building data solutions using Python, SQL, and Spark.
  • Experience building data solutions using Snowflake or Databricks in Azure Cloud.
In This Role, You Will

You will be responsible for:

  • Designing dimensional models for reporting and analytics.
  • Designing and executing the build of data ecosystems in cloud to support a Data Lake-House architecture.
  • Integrating disparate data models across an organization into one enterprise-wide Unified Data Platform.
  • Designing functional database objects, building entity relationships, and producing documentation necessary for catalog and governance of data models.
  • Driving rationalization and standardization of data products.
  • Surfacing inconsistencies in data definitions so that they can be reconciled.
  • Developing a corporate data library/metadata repository, including best practices for development of data transformation specifications.
  • Working at a client location multiple days a week.
  • Participating in prototyping and proof-of-concept system development and benchmarking.
  • Shaping enterprise data architecture design patterns, design principles, and best practices enhancing business solution delivery.
  • Designing and implementing role-based access control, backup, and recovery strategies, maintenance windows, and providing overall support for implementing ITIL standards.
  • Participating in code reviews, ensuring best practices are followed.
  • Identifying and resolving production application issues.
  • Performing database administration tasks, including automation, performance monitoring, system tuning, and SQL query optimization.
Skills & Knowledge

The ideal candidate will possess:

  • Hands-on experience building data solutions in Azure Cloud.
  • Hands-on experience building data solutions using Python, SQL, and Spark.
  • Kimball or Inmon data models.
  • Experience working with Restful APIs, JSON, Parquet, and Avro file formats, HDFS, and Delta Lake, and query frameworks such as Hive and Presto.
  • Preferrable experience in Azure Data Factory or other ETL tools solutioning and development.
  • Proficiency in SQL for data querying and manipulation.
  • Hands-on experience in data modeling, implementation, and management of OLTP and OLAP systems.
  • Hands-on experience working in an agile setting.
  • Self-driven, naturally curious, and able to adapt to a fast-paced work environment.
  • Ability to articulate, create, and maintain technical and non-technical documentation.

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