Databricks Architect

1 month ago


Hyderabad, India HS Solutions Inc Full time

About the Job

We are having an Urgent opening for one of our MNC client for PAN India Locations.


Position Title: Databricks Architect

Notice Period: Immediate to 30 days maximum

Location: PAN India

Experience: 10-15 Yrs


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.

• 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.

• 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.


Preferred qualifications

• 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 experience in Data Engineering domain with total

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

• Must have experience on various data bricks components.

• Must have knowledge of new features available in Databricks and its implications along with

various possible use-case.

• 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 spark-sql.

• 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.

• Responsible to set best practices around Databricks CI/CD.

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

• 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, PowerShell, 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

sagemaker, 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


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