Title: Cloud Data Architect

Primary Skill: Data Engineering

Secondary Skill: GCP

Seniority: Senior

Years: 5+

Emp Type: FTE

Location: Canada-wide Remote

Client position: 238

Description:

Our Client is a recognized and certified Managed Service Provider (MSP) for AWS, Azure, and GCP. They were positioned as a Leader in the 2020 Gartner Magic Quadrant report for Public Cloud Infrastructure Professional and Managed Services. They have more than 1000 customers worldwide and help them gain a competitive edge through the cloud.

Job Description:
* Design, build and implement complex data solutions in the cloud (AWS, GCP and/or Microsoft).
* Understanding on premise and on cloud data platforms - databases, data marts, datahubs, data warehouses and data lakes.
* Ability to consult on data governance, data management, data life cycle and ETL performance improvements.
* Overall architecture design, performance tuning, cost management, and implementation of Big Data analytical solutions with GCP, AWS and/or Azure cloud environments.
* Provide thought leadership with defining architecture, data, and analytics strategies on any of the three major clouds (GCP, AWS & Azure - preferred GCP & AWS Experience)
* Implement end-to-end data analytics solutions from data ingestion, data processing, data quality, data aggregation, semantic view and visualization for large-scale, complex and diverse client environments.
* Build a modern data analytics platform with self-service BI and data discovery capabilities and leveraging frameworks/solutions built for business analytics on cloud.
* Lead a team of data engineers in designing, developing, testing, and deploying high performance data analytics solutions.
* Communicate complex technical topics to non-technical business and senior executives and assist with scoping, architecting and selling cloud data solutions.
* Thought Leadership on data management, collaterals, whitepapers

Requirements
* B.A. /B.S. Degree is required
* Google Cloud Data Engineer Certification preferred
* 5+ years of relevant experience as Data Warehouse architect and delivery experience
* 5+ years of experience leading/mentoring a development team, mentoring, reviewing code, assigning work
* 3+ years delivering successful Data Analytics projects in Cloud data/analytics platform.
* Experience estimating, planning, configuring and implementing big data solutions in a cloud environment (AWS, Azure or GCP).
* Ability to translate business challenges and use cases into Data Analytics solutions
* 3+ years ETL/ELT/Python programming skills including experience with pipeline orchestration tools, logging, monitoring & alerting, deep troubleshooting, and automated testing & deployments (CI/CD)
* Demonstrated experience working in all phases of full life cycle data analytics development: Requirements, Architecture, Design, Testing, and deployment
* Ability to collaborate with client technical executives on strategy, project portfolio management, best practices
* Strong presentation skills to be able to author slides and sell a technical solution to clients
* Experience or exposure to one or more of the following - Apache Beam, GCP Cloud Dataflow, GCP Dataprep, Trifacta, GCP Data Fusion, CDAP, GCP Dataproc, AWS Data Pipeline, AWS Glue
* Prior experience in Python and/or Java, developing complex SQL queries, and working with relational database technologies.
* Experience using cloud storage and computing technologies such as BigQuery, Snowflake, RedShift or Synapse.
* Experience with modern BI/analytics platforms such as Looker, Tableau & Power BI.
* Experience developing complex technical and ETL programs within a Hadoop ecosystem.
* Strong understanding of cloud technology (especially GCP and AWS) with a broad understanding of infrastructure and GCP and AWS Ecosystem technologies
* Understanding and some experience with Professional Services and Consulting engagements

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