4 Purview Jobs

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos AI Gigafactory, our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Inviting applications for the role of Senior Principal Consultant- Senior Data Engineer - Databricks, Azure & Mosaic AI Role Summary: We are seeking a Senior Data Engineer with extensive expertise in Data & Analytics platform modernization using Databricks, Azure, and Mosaic AI. This role will focus on designing and optimizing cloud-based data architectures, leveraging AI-driven automation to enhance data pipelines, governance, and processing at scale. Key Responsibilities: . Architect & modernize Data & Analytics platforms using Databricks on Azure. . Design and optimize Lakehouse architectures integrating Azure Data Lake, Databricks Delta Lake, and Synapse Analytics. . Implement Mosaic AI for AI-driven automation, predictive analytics, and intelligent data engineering solutions. . Lead the migration of legacy data platforms to a modern cloud-native Data & AI ecosystem. . Develop high-performance ETL pipelines, integrating Databricks with Azure services such as Data Factory, Synapse, and Purview. . Utilize MLflow & Mosaic AI for AI-enhanced data processing and decision-making. . Establish data governance, security, lineage tracking, and metadata management across modern data platforms. . Work collaboratively with business leaders, data scientists, and engineers to drive innovation. . Stay at the forefront of emerging trends in AI-powered data engineering and modernization strategies. Qualifications we seek in you! Minimum Qualifications . experience in Data Engineering, Cloud Platforms, and AI-driven automation. . Expertise in Databricks (Apache Spark, Delta Lake, MLflow) and Azure (Data Lake, Synapse, ADF, Purview). . Strong experience with Mosaic AI for AI-powered data engineering and automation. . Advanced proficiency in SQL, Python, and Scala for big data processing. . Experience in modernizing Data & Analytics platforms, migrating from on-prem to cloud. . Knowledge of Data Lineage, Observability, and AI-driven Data Governance frameworks. . Familiarity with Vector Databases & Retrieval-Augmented Generation (RAG) architectures for AI-powered data analytics. . Strong leadership, problem-solving, and stakeholder management skills. Preferred Skills: . Experience with Knowledge Graphs (Neo4J, TigerGraph) for data structuring. . Exposure to Kubernetes, Terraform, and CI/CD for scalable cloud deployments. . Background in streaming technologies (Kafka, Spark Streaming, Kinesis). Why join Genpact . Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation . Make an impact - Drive change for global enterprises and solve business challenges that matter . Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities . Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day . Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. 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. 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 %27starter kit,%27 paying to apply, or purchasing equipment or training.

Shift timings- 2 PM -11 PM Primary skills Azure Security Defender, Sentinel,(identity, Endpoint, etc.) Secondary skills Azure Infrastructure, Office 365 collab workloads Required Skills & Experience: Technical Expertise: Strong understanding of Azure security offerings, including but not limited to: Microsoft Defender for Cloud / Endpoint / Identity Microsoft Sentinel (SIEM/SOAR) Microsoft Entra (Identity Governance, Conditional Access) Hands-on experience with cloud security assessments, PoC deployments, and client workshops. Familiarity with Zero Trust architecture and related best practices. Professional Experience: 5+ years in IT security roles, with 2+ years focused on Azure or cloud security. Proven track record of leading technical engagements independently. Soft Skills: Excellent communication and presentation skills. Ability to articulate technical concepts to both technical and business audiences. Self-starter who thrives in a fast-paced, client-facing environment. Preferred Qualifications: Microsoft certifications (e.g., SC-100, AZ-500, SC-200) Experience working with Microsoft partners or within funded engagement programs. Exposure to regulatory compliance frameworks (e.g., ISO, NIST, GDPR) Key Responsibilities: Client Engagements: Conduct security assessments and discovery workshops to understand client environments, security gaps, and cloud readiness. Deliver technical Proof of Concepts (PoCs) and hands-on demonstrations of Microsoft Azure security solutions. Host and facilitate technical workshops on Zero Trust, Microsoft Defender, Sentinel, Entra, and related technologies. Provide technology walkthroughs, highlight use cases, and share practical experience to illustrate business value. Solution Design & Implementation: Design and recommend secure architectures and configurations using Azure-native tools and services. Collaborate on solution development, documentation, and client readiness for security modernization. Internal & Cross-Functional Collaboration: Work closely with Sales, PreSales, and regional delivery teams to align on customer needs, technical strategy, and success metrics. Contribute to proposal development and client presentations from a technical security standpoint. Thought Leadership & Enablement: Stay updated on Azure security advancements and share knowledge internally and with clients. Support internal enablement sessions and mentor junior team members, where applicable.

We are seeking a hands-on Lead Data Engineer to drive the design and delivery of scalable, secure data platforms on Google Cloud Platform (GCP). In this role you will own architectural decisions, guide service selection, and embed best practices across data engineering, security, and performance disciplines. You will partner with data modelers, analysts, security teams, and product owners to ensure our pipelines and datasets serve analytical, operational, and AI/ML workloads with reliability and cost efficiency. Familiarity with Microsoft Azure data services (Data Factory, Databricks, Synapse, Fabric) is valuable, as many existing workloads will transition from Azure to GCP. Key Responsibilities Lead end-to-end development of high-throughput, low-latency data pipelines and lake-house solutions on GCP (BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Composer, Dataplex, etc.). Define reference architectures, technology standards for data ingestion, transformation, and storage. Drive service-selection trade-offscost, performance, scalability, and securityacross streaming and batch workloads. Conduct design reviews and performance tuning sessions; ensure adherence to partitioning, clustering, and query-optimization standards in BigQuery. Contribute to long-term cloud data strategy, evaluating emerging GCP features and multi-cloud patterns (Azure Synapse, Data Factory, Purview, etc.) for future adoption. Lead the code reviews and oversee the development activities delegated to Data engineers. Implement best practices recommended by Google Cloud Provide effort estimates for the data engineering activities Participate in discussions to migrate existing Azure workloads to GCP, provide solutions to migrate the work loads for selected data pipelines Must-Have Skills 810 years in data engineering, with 3+ years leading teams or projects on GCP. Expert in GCP data services (BigQuery, Dataflow/Apache Beam, Dataproc/Spark, Pub/Sub, Cloud Storage) and orchestration with Cloud Composer or Airflow. Proven track record designing and optimizing large-scale ETL/ELT pipelines (streaming + batch). Strong fluency in SQL and one major programming language (Python, Java, or Scala). Deep understanding of data lake / lakehouse, dimensional & data-vault modeling, and data governance frameworks. Excellent communication and stakeholder-management skills; able to translate complex technical topics to non-technical audiences. Nice-to-Have Skills Hands-on experience with Microsoft Azure data services (Azure Synapse Analytics, Data Factory, Event Hub, Purview). Experience integrating ML pipelines (Vertex AI, Dataproc ML) or real-time analytics (BigQuery BI Engine, Looker). Familiarity with open-source observability stacks (Prometheus, Grafana) and FinOps tooling for cloud cost optimization. Preferred Certifications Google Professional Data Engineer (strongly preferred) or Google Professional Cloud Architect Microsoft Certified: Azure Data Engineer Associate (nice to have) Education Bachelors or Masters degree in Computer Science, Information Systems, Engineering, or a related technical field. Equivalent professional experience will be considered.

Shift timings- 2PM -11 PM Primary skills Security Defender , Sentinel, Purview (identity,Endpoint etc.) Intune & SCCM Good to have- Microsoft Copilot Knowledge around Microsoft funded CSI or MCI security engagements Secondary skills Azure Infrastructure, Office 365 collab workloads Good to have Delivery experience of Microsoft funded CSI or MCI security engagements (Data Security, Modern Security Operations or Threat Protection) experience. Qualifications : 5+ years of experience in deployment activities or training sessions in Data Security, Governance, or other relevant Microsoft technologies. Excellent communication, presentation, and instructional skills. Proficiency in English, as the team operates in the EMEA region. Ability to work independently and as part of a team. Key Responsibilities : Engage with potential clients to understand their needs and propose relevant workshops according to their specific requirements, industry demands, as well as their current level of adoption and understanding. Maintain up-to-date knowledge of the funding programs. This includes understanding the entry requirements for each workshop and staying informed about the ongoing changes to the deliverables. Maintain up-to-date knowledge of Microsoft technologies, industry trends and have a clear understanding of the roadmap and upcoming feature updates. Demonstrate strong objection handling skills, particularly for Copilot, to address clients' concerns and misconceptions, and persuasively advocate for Insight's proposed approach. Develop a strategic mindset by understanding the client's overall roadmap and identify how different workshops can support their long-term goals. This involves being curious about why the customer wants to pursue a particular workshop and how it can lead to further opportunities. Communicate effectively across different levels, with both technical personnel and executives.