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Overview of 66degrees
66degrees is a leading consulting and professional services company specializing in developing AI-focused, data-led solutions leveraging the latest advancements in cloud technology. With our unmatched engineering capabilities and vast industry experience, we help the worldβs leading brands transform their business challenges into opportunities and shape the future of work.
At 66degrees, we believe in embracing the challenge and winning together. These values not only guide us in achieving our goals as a company but also for our people. We are dedicated to creating a significant impact for our employees by fostering a culture that sparks innovation and supports professional and personal growth along the way. Overview of Role
As a Data Architect with 66degrees, you are responsible for assisting customers in their Google Cloud journey through the design and implementation of a data strategy. The Data Architect should be comfortable translating business and technical requirements into scalable and cost-effective database solutions. Responsibilities
Facilitate, guide, and influence the client and teams towards an effective architectural pattern and becoming an interface between business leadership, technology leadership and the delivery teams.
Designing of solution architecture on Google Cloud and Azure
Architect and deploy data warehouses and data lakes on GCP and Azure, utilizing services like BigQuery, Azure Synapse Analytics, and Databricks.
Implementation of Proof of Concept (POC) and Minimal Viable Product (MVP) workloads.
Design a data platform that accounts for the implementation of:
Database objects
Data
Data Pipelines
Orchestration
Users and Security
Migration of workloads
Perform migration activities including:
Translation of DDL, Stored Procedures, and Queries into BigQuery and Cloud SQL supported (Postgres and MySQL) syntax
Executing data transfers using native Google Cloud and 3rd party tools
Setup and configuration of relative Google Cloud components through Infrastructure as Code (IaC)
Engage with customer teams as a Google Cloud expert to provide:
Education Workshops
Architectural Recommendations
Technology reviews and recommendations
Qualifications
5 years of overall database management and IT experience.
Experience in defining the technical architecture on Google Cloud involving Cloud Storage, BigQuery, Dataproc, Dataflow, and Cloud Functions and Azure data services (Azure Synapse Analytics, Azure Data Factory, Azure Data Lake Storage, etc.).
2+ years of Google Cloud and Azure experience
Experience in designing data models in BigQuery
Advanced SQL skills, including the ability to:
Write, tune, and interpret SQL queries
Tool specific experience in the RDBMS listed above is ideal
Experience in utilizing SQL Frameworks like dbt or Dataform
Advanced programming skills, preferably in Python, including the ability to:
Utilize data processing frameworks like Spark, Beam, or Pandas
Utilize orchestration frameworks like Airflow or Cloud Workflows
Create APIs by using GraphQL, Fast API, Django, or Flask
Google Cloud and Azure certifications are preferred
Proven experience in migrating databases like Teradata to BigQuery
Proven experience in migration databases like mySQL, Postgres, and Oracle to Cloud SQL
66degrees is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race, color, religion, sex, gender, gender identity, national origin, age, weight, height, marital status, sexual orientation, veteran status, disability status or other legally protected class.
No salary data published by company so we estimated salary based on similar jobs related to Design and Cloud jobs that are similar:
$30,000 β $65,000/year
π° 401(k)
π Distributed team
β° Async
π€ Vision insurance
π¦· Dental insurance
π Medical insurance
π Unlimited vacation
π Paid time off
π 4 day workweek
π° 401k matching
π Company retreats
π¬ Coworking budget
π Learning budget
πͺ Free gym membership
π§ Mental wellness budget
π₯ Home office budget
π₯§ Pay in crypto
π₯Έ Pseudonymous
π° Profit sharing
π° Equity compensation
β¬οΈ No whiteboard interview
π No monitoring system
π« No politics at work
π We hire old (and young)