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DataBricks Architect

2 months ago

hyderabad, India Genpact Full time

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose – the relentless pursuit of a world that works better for people – we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI.

Inviting applications for the role of Principal Consultant –DataBricks Architect


Role: Databricks Architect (Azure, AWS, GCP)

Transformation happens here. Come, be a part of our exciting journey

Are you the one we are looking for?

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.


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.
  • Bachelor’s 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.
  • 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

  • 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 at least 10+ years of experience in Data Engineering domain with total of 12+ years.
  • Must have designed and implemented at least 2-3 project end-to-end in Databricks.
  • Must have at least 3+ years of experience 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 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 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, 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

Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. For more information, visit www.genpact.com. Follow us on Twitter, Facebook, LinkedIn, and YouTube.