AVP - Databricks solution Architect

Inviting applications for the role of

Assistant Vice President - DatabricksArchitect

In this role, the

Databricks Architect

is responsible for providing technical direction andlead 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-specificguidelines, usability design standards, etc.• Proactively guide engineering methodologies, standards, and leading practices.• Guidance of engineering staff and reviews of as-built configurations during theconstruction phase.• Provide insight and direction on roles and responsibilities required for solutionoperations.• Identify, communicate and mitigate Risks, Assumptions, Issues, and Decisionsthroughout the full lifecycle.• Considers the art of the possible, compares various architectural options based onfeasibility 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 todeliver improved business outcomes, designing and driving the implementation of thosesolutions.• Should have Technical Experience in

Azure, AWS & GCP Cloud Data Engineeringservices 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 externalstakeholders• 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 andsustaining strategic executive relationships, doubling up as their trusted businesstechnology 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.

Minimum qualifications• Excellent technical architecture skills, enabling the creation of future-proof,

complexglobal solutions in Databricks.• Excellent interpersonal communication and organizational skills are required tooperate as a leading member of global, distributed teams that deliver quality servicesand solutions.• Ability to rapidly gain knowledge of the organizational structure of the firm to facilitatework 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.• 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, SSOetc.• 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 experience in

Data Engineering domain•

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

Must have experience on databricks which consists of various components as followsDelta 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.

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 mentaldisability 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. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook.Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

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