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Data Architect @ Simbus Technologies

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 Data Architect

Job Description

Dear Candidate


Greetings!


Currently, we are hiring Data Architect for our team at Simbus technologies.


Its a remote opportunity.


Immediate joiners or short notice candidates are preferred.


Exp: 6+ years


Job Description:


ROLE OVERVIEW:

We are looking for a highly skilled Data Architect with deep expertise in Databricks to join our growing data team. In this role, you will design, develop, and implement scalable data architecture solutions leveraging the Databricks platform. Youll collaborate with cross-functional teams to transform data into valuable business insights and ensure our data infrastructure is robust, secure, and future-ready.


WHAT YOULL BRING:

  • Bachelors or masters degree in computer science, Engineering, or related field.
  • 7+ years of experience in data engineering or architecture roles.
  • Strong experience in data modeling, data warehousing, and Big Data technologies.
  • Experience in enabling CI/CD and infrastructure-as-code for scalable data solutions.
  • Proficiency in SQL, Python, Databricks and Spark (PySpark or Scala).
  • Familiarity with cloud platforms (Azure, AWS, or GCP) and services like ADLS, S3, or Big Query.
  • Strong understanding of data security, governance, and compliance (e.g., GDPR, HIPAA).
  • Excellent problem-solving skills and ability to work independently and in a team environment
  • Databricks certification (e.g., Databricks Platform Administrator Accreditation, Associate/ Professional -Databricks Data Engineer).

WHAT YOULL DO:

  • Design and implement scalable and secure data architectures on Databricks Lakehouse Platform.
  • Develop robust data models (dimensional and normalized) and ETL pipelines using Py Spark/Scala on Databricks.
  • Design optimal data models (e.g., star/snowflake schemas) for analytics use cases.
  • Collaborate with data engineers, analysts, and business stakeholders to define data requirements and governance standards.
  • Optimize data processing jobs for performance and cost-efficiency on Databricks.
  • Manage data lineage, quality, and governance using tools like Unity Catalog.
  • Participate in data platform modernization and cloud migration strategies (especially Azure/AWS/GCP).
  • Provide technical leadership, mentorship, and architectural guidance to the engineering team.

WHAT WELL OFFER YOU:

An open transparent work culture with focus on employee delight.

Opportunity to work on challenging Databricks projects.

A strong process-oriented work environment using modern work tools to drive efficiency in service delivery.

A work from home policy focuses on optimum work life balance.

Industry leading pay scale with benefits.

A collaborative work culture with emphasis on learning and innovation.

A clear growth path intended to achieve personal aspirations and goals.


KEY COMPETENCIES & SKILLS:

  • Deep expertise in Databricks, Spark (PySpark/Scala), and Kafka, with a strong track record of designing scalable ETL pipelines using SQL and Python across Azure, AWS, and GCP.
  • Skilled in implementing CI/CD and data governance frameworks (GDPR/HIPAA), combined with proven leadership, team management, and problem-solving abilities.

If you think that you meet the requirements, please connect with us on ca****s@si*******h.com or ga**a@sa***h@gmail.com

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Data Engineer
Employement Type: Full time

Contact Details:

Company: Simbus Technologies
Location(s): Bengaluru

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Keyskills:   Ci/Cd Data Architecture Data Governance AWS Data Bricks Data Security Data Modeling Data Integration

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Simbus Technologies

Simbus, a global, technology consulting and solutions company, enables organizations to create new age experiences for consumers and run efficient supply chains apt for todays experiential and increasingly intricate and involved economy. We enable digital transformation by leveraging innovative tec...