Databricks architect -(Immediate joiner) @ Job Search

Job Description

Role: Databricks Architect (Azure, AWS, GCP)
Description - External
With a startup spirit and 100,000+ curious and courageous minds, we have the expertise to go deep with
the worlds biggest brandsand we have fun doing it. Now, were calling all you rule-breakers and risk-
takers who see the world differently and are bold enough to reinvent it.  
 
Inviting applications for the role of Databricks Architect! 
In this role, the Databricks Architect is responsible for providing technical direction and lead a group of
one or more developer to address a goal. 
Responsibilities 
Architect and design solutions to meet functional and non-functional requirements.
Create and review architecture and solution design artifacts.
Evangelize re-use through the implementation of shared assets.  
Enforce adherence to architectural standards/principles, global product-specific guidelines,
usability design standards, etc.  

Considers the art of the possible, compares various architectural options based on feasibility
and impact, and proposes actionable plans.
Demonstrate strong analytical and technical problem-solving skills.
Ability to analyze and operate at various levels of abstraction.  
Ability to balance what is strategically right with what is practically realistic. 
Growing the Data Engineering business by helping customers identify opportunities to deliver
improved business outcomes, designing and driving the implementation of those solutions. 
Growing && retaining the Data Engineering team with appropriate skills and experience to deliver
high quality services to our customers. 
Supporting and developing our people, including learning && development, certification && career
development plans 
Providing technical governance and oversight for solution design and implementation 
Should have technical foresight to understand new technology and advancement.
Leading team in the definition of best practices && repeatable methodologies in Cloud Data
Engineering, including Data Storage, ETL, Data Integration && Migration, Data Warehousing and
Data Governance  
Should have Technical Experience in Azure, AWS && GCP Cloud Data Engineering services
and solutions.  
Contributing to Sales && Pre-sales activities including proposals, pursuits, demonstrations, and
proof of concept initiatives 
Evangelizing the Data Engineering service offerings to both internal and external stakeholders 
Development of Whitepapers, blogs, webinars and other though leadership material 
Development of Go-to-Market and Service Offering definitions for Data Engineering 

Working with Learning && Development teams to establish appropriate learning &&
certification paths for their domain. 
Expand the business within existing accounts and help clients, by building and sustaining
strategic executive relationships, doubling up as their trusted business technology advisor. 
Position differentiated and custom solutions to clients, based on the market trends, specific
needs of the clients and the supporting business cases. 
Build new Data capabilities, solutions, assets, accelerators, and team competencies. 
Manage multiple opportunities through the entire business cycle simultaneously, working with
cross-functional teams as necessary. 

Qualifications we seek in you! 
Minimum qualifications 
Excellent technical architecture skills, enabling the creation of future-proof, complex
global solutions.
Maintains close awareness of new and emerging technologies and their potential application for
service offerings and products.  
Bachelors Degree or equivalency (CS, CE, CIS, IS, MIS, or engineering discipline) or equivalent
work experience  
Experience in a solution architecture role using service and hosting solutions such as
private/public cloud IaaS, PaaS, and SaaS platforms. 
Experience in architecting and designing technical solutions for cloud-centric solutions based on
industry standards using IaaS, PaaS, and SaaS capabilities.  
Must have strong hands-on experience on various cloud services like ADF/Lambda, ADLS/S3,
Security, Monitoring, Governance
Must have experience to design platform on Databricks.
3+ years of hands-on Experience to design and build Databricks based solution on any cloud
platform.
1+ year of hands-on experience to design and build solution powered by DBT models and
integrate with databricks.
Must be very good designing End-to-End solution on cloud platform.
Must have good knowledge of Data Engineering concept and related services of cloud.
Must have good experience in Python and Spark.
Must have good experience in setting up development best practices.
Intermediate level knowledge is required for Data Modelling.
Good to have knowledge of docker and Kubernetes.
Experience with claims-based authentication (SAML/OAuth/OIDC), MFA, RBAC, SSO etc.  

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Keyskills:   aws architect databricks