As an Senior Solution Architect - Azure Databricks, you will play a crucial role in designing, building, and maintaining scalable data pipelines and infrastructure. You will work with a variety of technologies, including Scala, Python, Spark, AWS services, and SQL, to support our data processing and analytics needs.

Responsibilities: -

Enable end-to-end program planning/WBS and execution.
Guiding the team technically and leading technical reviews with the project team and Client facing.
Drive technical/solution and architecture reviews with the client business and IT stakeholders.
Deploy CitiusTech accelerators, reusable assets, and frameworks for the engagements.
Proactively identify technical/solution delivery risks and plan mitigation steps.
Work with both technical and business users, platform/product partners, and other stakeholders to design and deliver quality outcomes for the data on Cloud/platform modernization engagements.

Educational Qualifications:

Engineering Degree – BE/ME/BTech/MTech/BSc/MSc.
Technical certification in multiple technologies is desirable.
Should be certified on at least one of the data platforms (Snowflake or Databricks), Hyperscaler/cloud certification.

Skills:

Mandatory Technical Skills:-

Over 5 years of experience in Cloud data architecture and analytics
Proficient in Azure, Snowflake, SQL, and DBT
Extensive experience in designing and developing data integration solutions using DBT and other data pipeline tools
Strong understanding of data validation, cleansing, and enrichment processes
Experience in creating low-level design documents and unit test strategies
Ability to perform code reviews and unit test plan reviews
Excellent communication and teamwork skills
Self-initiated, problem solver with a strong sense of ownership
At least 12 to 13 years of IT experience, primarily in leading data and analytics programs tech delivery
Should have led at least 3 large legacy EDW/data platform modernization and migrations to Snowflake/Databricks/data on Cloud engagements in the last 5 years.
Having experience in leading all aspects of the project/program life cycle, including strategy, roadmap, architecture, design, development, and Implementation for the multi-phase/multi-year engagements and rollouts
Should have led large team with up to 50 members
Good to have experience in DataOps
Snowflake
Python/Spark/JavaScript
AWS/Azure/GCP
SQL

Good to Have Skills:-

CI/CD (DevOps)
Terraform/Airflow