[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-search-\u002Fen-in\u002Fjobs-by-skill\u002Fdata-governance":3,"seo-content-skill-data-governance-in":66,"skill-page-filters-\u002Fen-in\u002Fjobs-by-skill\u002Fdata-governance":83,"featured-jobs-\u002Fen-in\u002Fjobs-by-skill\u002Fdata-governance":164},{"total":4,"jobs":5},1,[6],{"id":7,"slug":8,"title":9,"raw_title":10,"is_featured":11,"company":12,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":15,"processed_country_iso_code_gmaps":17,"processed_home_office":19,"processed_salary_min":20,"processed_salary_max":21,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":24,"processed_employment_types":26,"processed_it_skills":27,"processed_it_skills_labels":30,"processed_job_expertise_skills":51,"processed_job_expertise_skills_labels":52,"max_cpc":4,"actual_cpc":65},80126,"data-engineer-consultant-ii-allstate-india-pvt-ltd","Data Engineer Consultant II",null,false,{"name":13,"slug":14,"logo_url":10},"Allstate India Pvt Ltd","allstate-india-pvt-ltd",[16],"Bengaluru",[18],"IN","onsite",1500000,2500000,"INR","estimated",[25],"FULL_TIME","permanent",{"sql":28,"ci\u002Fcd":29,"python":28,"etl\u002Felt":28,"one lake":29,"data lakes":29,"apache spark":28,"data modeling":28,"data governance":29,"fault tolerance":29,"version control":29,"microsoft fabric":29,"performance tuning":28,"metadata management":29,"orchestration tools":29,"infrastructure as code":29,"data quality frameworks":29,"lakehouse architectures":29,"distributed data processing":28,"workflow management systems":29},4,3,[31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],"Apache Spark","Python","SQL","Microsoft Fabric","One Lake","CI\u002FCD","Version Control","Infrastructure as Code","Data Lakes","Lakehouse Architectures","ETL\u002FELT","Data Modeling","Distributed Data Processing","Performance Tuning","Fault Tolerance","Orchestration Tools","Workflow Management Systems","Data Governance","Metadata Management","Data Quality Frameworks",{"data security":29,"agile delivery":29,"design reviews":29,"data compliance":29,"sprint planning":29,"batch processing":28,"data engineering":28,"data transformation":28,"continuous improvement":29,"data quality assurance":28,"data pipeline development":28,"streaming data processing":28},[53,54,55,56,57,58,59,60,61,62,63,64],"Data Engineering","Data Pipeline Development","Batch Processing","Streaming Data Processing","Data Transformation","Data Quality Assurance","Data Security","Data Compliance","Agile Delivery","Sprint Planning","Design Reviews","Continuous Improvement",0.3,{"image_path":67,"content_de":10,"content_en":68,"composite_key":81,"last_updated":82},"\u002Fimages\u002Fskill\u002Fdata-governance.webp",{"tab1":69,"tab2":72,"tab3":75,"tab4":78},{"title":70,"content":71},"Strategic Importance","In today's data-driven world, Data Governance has emerged as a cornerstone for organizations across India. With the exponential growth of data and stringent regulatory requirements, the ability to manage, protect, and leverage data assets is paramount. Professionals skilled in Data Governance ensure data accuracy, consistency, and security, enabling informed decision-making and regulatory compliance. The demand for such expertise is soaring, reflected in the current job market: there are 1 open positions in India, with a median salary of INR 2500k. This role is not just about managing data; it's about driving business value and mitigating risks. As companies increasingly rely on data, the strategic importance of Data Governance cannot be overstated. It intersects with critical skills like [Sql](\u002Fen-in\u002Fjobs-by-skill\u002Fsql), [Ci\u002Fcd](\u002Fen-in\u002Fjobs-by-skill\u002Fcicd), [Python](\u002Fen-in\u002Fjobs-by-skill\u002Fpython), making it a multidisciplinary field that offers diverse career opportunities. Whether you're a data analyst, IT professional, or compliance expert, mastering Data Governance can significantly enhance your career prospects in India's competitive job market.",{"title":73,"content":74},"Top Industries & Locations","Data Governance roles are in high demand across various industries in India, with opportunities concentrated in key locations. The top industries hiring for Data Governance professionals include [Insurance](\u002Fen-in\u002Fjobs-by-industry\u002Finsurance), reflecting the sector's need for robust data management and compliance. Geographically, the leading locations for these roles are [Bengaluru](\u002Fen-in\u002Fjobs-in-bengaluru), where major financial hubs and tech parks are situated. These cities offer a vibrant job market with numerous opportunities for career growth. For instance, professionals in these regions can expect competitive salaries and exposure to cutting-edge projects. The presence of multinational corporations and startups alike ensures a dynamic work environment. If you're seeking a career in Data Governance, focusing on these industries and locations can maximize your chances of finding rewarding roles. Stay updated with the latest trends and network within these hubs to tap into the hidden job market.",{"title":76,"content":77},"In-Demand Skills & Employers","To excel in Data Governance, professionals need a blend of technical and soft skills. The most sought-after expertise includes [Data Security](\u002Fen-in\u002Fjobs-by-expertise\u002Fdata-security), [Agile Delivery](\u002Fen-in\u002Fjobs-by-expertise\u002Fagile-delivery), [Design Reviews](\u002Fen-in\u002Fjobs-by-expertise\u002Fdesign-reviews), which are critical for implementing effective governance frameworks. Additionally, proficiency in tools and technologies is essential; top skills like [Sql](\u002Fen-in\u002Fjobs-by-skill\u002Fsql), [Ci\u002Fcd](\u002Fen-in\u002Fjobs-by-skill\u002Fcicd), [Python](\u002Fen-in\u002Fjobs-by-skill\u002Fpython) are highly valued by employers. Leading companies in India, such as [Allstate India Pvt Ltd](\u002Fen-in\u002Fcompany\u002Fallstate-india-pvt-ltd), are actively seeking Data Governance talent. These organizations offer attractive packages and opportunities for professional development. To stand out, candidates should focus on continuous learning and certification in data management and governance. Networking with industry experts and participating in relevant forums can also provide a competitive edge. The demand for skilled Data Governance professionals is expected to grow, making it a lucrative career path. By aligning your skills with market needs, you can secure a position at a top employer and thrive in this field.",{"title":79,"content":80},"Career Path & Salary","A career in Data Governance offers a promising trajectory with competitive compensation. In India, the median salary for Data Governance professionals is INR 2500k, with a typical range of INR 2500k – INR 2500k. Entry-level positions start around INR 1500k, while experienced professionals can earn up to INR 2500k. The number of open positions currently stands at 1, indicating a healthy demand. Career progression often follows a path from Data Governance Analyst to Manager, Director, and Chief Data Officer. Along the way, professionals can specialize in areas like data quality, metadata management, or regulatory compliance. To advance, gaining experience in diverse industries and obtaining certifications like CDMP or DAMA can be beneficial. With the increasing emphasis on data privacy and governance, the career outlook is extremely positive. Whether you're just starting or looking to pivot, Data Governance offers a rewarding and future-proof career in India's evolving job market.","skill:data-governance:in","2026-08-26T20:46:06.178403+02:00",{"industry":84,"employment_type":88,"expertise_skills":91,"it_skills":116,"salary_currency":160,"processed_working_hours":162},[85],{"key":86,"label":87,"count":4},"insurance","Insurance",[89],{"key":26,"label":90,"count":4},"PERMANENT",[92,94,96,98,100,102,104,106,108,110,112,114],{"key":93,"label":58,"slug":93,"count":4},"data-quality-assurance",{"key":95,"label":64,"slug":95,"count":4},"continuous-improvement",{"key":97,"label":60,"slug":97,"count":4},"data-compliance",{"key":99,"label":53,"slug":99,"count":4},"data-engineering",{"key":101,"label":63,"slug":101,"count":4},"design-reviews",{"key":103,"label":59,"slug":103,"count":4},"data-security",{"key":105,"label":62,"slug":105,"count":4},"sprint-planning",{"key":107,"label":57,"slug":107,"count":4},"data-transformation",{"key":109,"label":56,"slug":109,"count":4},"streaming-data-processing",{"key":111,"label":55,"slug":111,"count":4},"batch-processing",{"key":113,"label":54,"slug":113,"count":4},"data-pipeline-development",{"key":115,"label":61,"slug":115,"count":4},"agile-delivery",[117,120,122,124,127,129,131,134,136,138,140,142,144,146,148,150,152,154,156,158],{"key":118,"label":119,"slug":118,"count":4},"cicd","Ci\u002FCd",{"key":121,"label":37,"slug":121,"count":4},"version-control",{"key":123,"label":43,"slug":123,"count":4},"distributed-data-processing",{"key":125,"label":126,"slug":125,"count":4},"etlelt","Etl\u002FElt",{"key":128,"label":32,"slug":128,"count":4},"python",{"key":130,"label":46,"slug":130,"count":4},"orchestration-tools",{"key":132,"label":133,"slug":132,"count":4},"infrastructure-as-code","Infrastructure As Code",{"key":135,"label":49,"slug":135,"count":4},"metadata-management",{"key":137,"label":45,"slug":137,"count":4},"fault-tolerance",{"key":139,"label":48,"slug":139,"count":4},"data-governance",{"key":141,"label":34,"slug":141,"count":4},"microsoft-fabric",{"key":143,"label":35,"slug":143,"count":4},"one-lake",{"key":145,"label":40,"slug":145,"count":4},"lakehouse-architectures",{"key":147,"label":50,"slug":147,"count":4},"data-quality-frameworks",{"key":149,"label":42,"slug":149,"count":4},"data-modeling",{"key":151,"label":33,"slug":151,"count":4},"sql",{"key":153,"label":47,"slug":153,"count":4},"workflow-management-systems",{"key":155,"label":31,"slug":155,"count":4},"apache-spark",{"key":157,"label":44,"slug":157,"count":4},"performance-tuning",{"key":159,"label":39,"slug":159,"count":4},"data-lakes",[161],{"key":22,"label":22,"count":4},[163],{"key":25,"label":25,"count":4},{"total":165,"jobs":166},0,[]]