Senior Principal Consultant - Databricks Architect AWSAzure

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125000 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 Senior Principal Consultant 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.

Responsibilities
Architect and design solutions to meet functional and nonfunctional requirements.
Create and review architecture and solution design artifacts.
Evangelize reuse through the implementation of shared assets.
Enforce adherence to architectural standards/principles global productspecific guidelines usability design standards etc.
Proactively guide engineering methodologies standards and leading practices.
Guidance of engineering staff and reviews of asbuilt 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 problemsolving 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 & Presales 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 GotoMarket 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 crossfunctional teams as necessary.

Qualifications we seek in you!
Minimum qualifications
Excellent technical architecture skills enabling the creation of futureproof 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.
Bachelors 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 cloudcentric solutions based on industry standards using IaaS PaaS and SaaS capabilities.
Must have strong handson experience on various cloud services like ADF/Lambda ADLS/S3 Security Monitoring Governance
Must have experience to design platform on Databricks.
Handson Experience to design and build Databricks based solution on any cloud platform.
Handson experience to design and build solution powered by DBT models and integrate with databricks.
Must be very good designing EndtoEnd 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 claimsbased 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 missioncritical technology components with DR capabilities.
Experience with multitier system and service design and development for large enterprises
Extensive realworld 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 with total
Must have designed and implemented at least 23 project endtoend in Databricks.
Must have experience on databricks which consists of various components as below
o Delta lake
o dbConnect
o db API 2.0
o SQL Endpoint Photon engine
o Unity Catalog
o Databricks workflows orchestration
o Security management
o Platform governance
o Data Security
Must have knowledge of new features available in Databricks and its implications along with various possible usecase.
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 spraksql.
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 respect and integrity customer focus and innovation. Get to know us at genpact 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.