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Urgent Need for Azure Data Bricks Architect in REMOTE at Remote, Remote, USA
Email: [email protected]
http://bit.ly/4ey8w48
https://jobs.nvoids.com/job_details.jsp?id=1140141&uid=

Hi,

Greetings from Techgene Solution LLC!

We have an Urgent requirement for 
Azure Data Bricks Architect

in REMOTE
.

Below is the mentioned job description. Kindly forward me your contact details 
for further
process at

[email protected]

.

Position: Azure Data Bricks Architect

Location: Remote

Duration: 6+ Months

JOB DESCRIPTION:

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.

Proactively guide engineering methodologies, standards, and leading practices.

Guidance of engineering staff and reviews of as-built configurations during the construction phase.

Provide insight and direction on roles and responsibilities required for solution operations.

Identify, communicate and mitigate Risks, Assumptions, Issues, and Decisions throughout the full lifecycle.

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.

Qualifications we seek in you!

Minimum qualifications

Excellent technical architecture skills, enabling the creation of future-proof, complex global solutions.

Excellent interpersonal communication and organizational skills are required to operate as a leading member of
global, distributed teams that deliver quality services and solutions.

Ability to rapidly gain knowledge of the organizational structure of the firm to facilitate work with groups outside
of the immediate technical team.

Knowledge and experience in IT methodologies and life cycles that will be used.

Familiar with solution implementation/management, service/operations management, etc.

Leadership skills can inspire others and persuade.

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.

Hands-on Experience to design and build Databricks based solution on any cloud platform.

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.

Knowledge of cloud security controls including tenant isolation, encryption at rest, encryption in transit, key
management, vulnerability assessments, application firewalls, SIEM, etc.

Experience building and supporting mission-critical technology components with DR capabilities.

Experience with multi-tier system and service design and development for large enterprises

Extensive, real-world experience designing technology components for enterprise solutions and defining solution
architectures and reference architectures with a focus on cloud technologies.

Exposure to infrastructure and application security technologies and approaches

Familiarity with requirements gathering techniques.

Preferred qualifications /Skills

Must have designed the E2E architecture of unified data platform covering all the aspect of data lifecycle starting
from Data Ingestion, Transformation, Serve and consumption.

Must have excellent coding skills either Python or Scala, preferably Python.

Must have good amount of experience in Data Engineering domain.

Must have designed and implemented at least 2-3 project end-to-end in Databricks.

Must have at least some experiences on databricks which consists of various components as below

Delta lake

dbConnect

db API 2.0

SQL Endpoint Photon engine

Unity Catalog

Databricks workflows orchestration

Security management

Platform governance

Data Security

Must have followed various architectural principles to design best suited per problem.

Must be well versed with Databricks Lakehouse concept and its implementation in enterprise environments.

Must have strong understanding of Data warehousing and various governance and security standards around Databricks.

Must have knowledge of cluster optimization and its integration with various cloud services.

Must have good understanding to create complex data pipeline.

Must be strong in SQL and sprak-sql.

Must have strong performance optimization skills to improve efficiency and reduce cost.

Must have worked on designing both Batch and streaming data pipeline.

Must have extensive knowledge of Spark and Hive data processing framework.

Must have worked on any cloud (Azure, AWS, GCP) and most common services like ADLS/S3, ADF/Lambda, CosmosDB/DynamoDB,
ASB/SQS, Cloud databases.

Must be strong in writing unit test case and integration test.

Must have strong communication skills and have worked with cross platform team.

Must have great attitude towards learning new skills and upskilling the existing skills.

Responsible to set best practices around Databricks CI/CD.

Must understand composable architecture to take fullest advantage of Databricks capabilities.

Good to have Rest API knowledge.

Good to have understanding around cost distribution.

Good to have if worked on migration project to build Unified data platform.

Good to have knowledge of DBT.

Experience around DevSecOps including docker and Kubernetes.

Software development full lifecycle methodologies, patterns, frameworks, libraries, and tools

Knowledge of programming and scripting languages such as JavaScript, Power, Bash, SQL, Java, Python, etc.

Experience with data ingestion technologies such as Azure Data Factory, SSIS, Pentaho, Alteryx

Experience with visualization tools such as Tableau, Power BI

Experience with machine learning tools such as mlFlow, Databricks AI/ML, Azure ML, AWS sage maker, etc.

Experience in distilling complex technical challenges to actionable decisions for stakeholders and guiding project
teams by building consensus and mediating compromises when necessary.

Experience coordinating the intersection of complex system dependencies and interactions.

Experience in solution delivery using common methodologies especially SAFe Agile but also Waterfall, Iterative,
etc.

Demonstrated knowledge of relevant industry trends and standards

Please send me below details ASAP
.

Full Name

Best Contact #:

Email ID:

LinkedIn URL:

Current Location/ Postal address:

Willing to Relocate: (Y/N)

Total IT Experience:

Relevant Experience:

Work Authorization & Validity:

Currently on a Project: (Y/N)

Technical Interview Availability:

Current Job search status:

Notice Period:

SSN (last 4 digit):

Education Details , University, year:

Regards

Sudhir| Techgene Solutions, LLC

D: 469-436-8159 (M): 972-694-3455

E:
[email protected]

300 E. Royal Lane, Suite# 109, Irving, TX 75039

This email and any files transmitted with it are confidential and intended solely
for the use of the individual or entity to whom they are addressed. If you have received this email in error please notify the sender. Views or opinions presented in this email are solely those of the author, except where the sender specifically states them
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Keywords: continuous integration continuous deployment artificial intelligence machine learning business intelligence sthree database information technology container edition Idaho Texas
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