{"id":3683,"date":"2025-12-06T08:33:42","date_gmt":"2025-12-06T08:33:42","guid":{"rendered":"https:\/\/www.whitehattoolbox.com\/jobsinindia\/were-hiring-in_manager_data-architect_da_advisory_bangalore\/"},"modified":"2025-12-06T08:33:42","modified_gmt":"2025-12-06T08:33:42","slug":"were-hiring-in_manager_data-architect_da_advisory_bangalore","status":"publish","type":"post","link":"https:\/\/www.whitehattoolbox.com\/jobsinindia\/were-hiring-in_manager_data-architect_da_advisory_bangalore\/","title":{"rendered":"We\u2019re Hiring IN_Manager_Data Architect_D&A_Advisory_Bangalore"},"content":{"rendered":"

Line of Service Advisory<\/span>Industry\/Sector Not Applicable<\/span>Specialism Data, Analytics & AI<\/span>Management Level Manager<\/span>Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.<\/span>In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.<\/span>*Why PWC<\/span>At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more .<\/span>At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm\u2019s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. “<\/span>Job Description & Summary: A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.<\/span>Responsibilities:<\/b><\/span>About the Role: We are hiring sharp, hands-on Data Architect to lead the design and implementation of scalable, high-performance data solutions across both traditional and cloud-based data platforms. This role demands deep expertise in PySpark, SQL, Python and Data Modelling, along with a strong understanding of cloud platforms and modern data engineering practices What you will do: \u00b7 Design and implement scalable data pipelines for batch and near real-time use cases in cloud environments \u00b7 Write optimized, complex SQL queries for data transformation and analysis in cloud data warehouses \u00b7 Develop efficient Python and PySpark scripts for large-scale data processing and ETL workflows \u00b7 Create and maintain data models in Databricks, ensuring data quality and consistency \u00b7 Optimize queries and scripts over large-scale datasets (TBs) with a focus on performance and cost-efficiency \u00b7 Implement data governance and security best practices in cloud environments \u00b7 Collaborate across teams to translate business requirements into robust technical solutions<\/span>Mandatory skill sets:<\/span>\u2018Must have\u2019 knowledge, skills and experiences \u00b7 8+ years of hands-on experience in Data Engineering \u00b7 Strong command over SQL, Python, and PySpark for data manipulation and analysis \u00b7 Deep experience with data warehousing concepts and implementation in cloud environments (Azure\/AWS) \u00b7 Proficiency in data modeling techniques for cloud-based systems (Databricks, Snowflake) \u00b7 Solid understanding of ETL\/ELT processes and best practices in cloud architectures \u00b7 Experience with dimensional modeling, star schemas, and data mart design \u00b7 Strong analytical thinking and problem-solving skills<\/span>Preferred skill sets:<\/b><\/span>\u2018Good to have\u2019 knowledge, skills and experiences \u00b7 Familiarity with data lake architectures and delta lake concepts \u00b7 Familiarity with Snowflake\/Databricks Data Warehouse \u00b7 Knowledge of data warehouse migration strategies to cloud<\/span>\u00b7 Experience with real-time data streaming technologies (e.g., Apache Kafka, Azure Event Hubs) \u00b7 Exposure to data quality and data governance tools and methodologies \u00b7 Understanding of data virtualization and federated query engines \u00b7 Understanding of performance optimization techniques for cloud-based data warehouses \u00b7 Apache Airflow \u2013 Workflow orchestration and scheduling \u00b7 Certifications in Azure or AWS or Databricks<\/span>Years of experience required:<\/span>Experience \u00b7 8-12 years<\/span>Education qualification:<\/b><\/span>o BE, B.Tech, ME, M,Tech, MBA, MCA (60% above)<\/span>Education (if blank, degree and\/or field of study not specified) Degrees\/Field of Study required: Master of Engineering, Bachelor of Engineering, Master of Business Administration<\/span>Degrees\/Field of Study preferred:<\/span>Certifications (if blank, certifications not specified)<\/span>Required Skills Database Architecture<\/span>Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Coaching and Feedback, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling {+ 32 more}<\/span>Desired Languages (If blank, desired languages not specified)<\/span>Travel Requirements Not Specified<\/span>Available for Work Visa Sponsorship? No<\/span>Government Clearance Required? No<\/span>Job Posting End Date<\/p>\n

Apply Now<\/a> <\/b><\/center><\/p>\n","protected":false},"excerpt":{"rendered":"

Line of Service Advisory Industry\/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[7],"tags":[],"class_list":["post-3683","post","type-post","status-publish","format-standard","hentry","category-mba-jobs"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack_likes_enabled":true,"jetpack-related-posts":[],"jetpack_shortlink":"https:\/\/wp.me\/pgs0IK-Xp","_links":{"self":[{"href":"https:\/\/www.whitehattoolbox.com\/jobsinindia\/wp-json\/wp\/v2\/posts\/3683","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.whitehattoolbox.com\/jobsinindia\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.whitehattoolbox.com\/jobsinindia\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.whitehattoolbox.com\/jobsinindia\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.whitehattoolbox.com\/jobsinindia\/wp-json\/wp\/v2\/comments?post=3683"}],"version-history":[{"count":0,"href":"https:\/\/www.whitehattoolbox.com\/jobsinindia\/wp-json\/wp\/v2\/posts\/3683\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.whitehattoolbox.com\/jobsinindia\/wp-json\/wp\/v2\/media?parent=3683"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.whitehattoolbox.com\/jobsinindia\/wp-json\/wp\/v2\/categories?post=3683"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.whitehattoolbox.com\/jobsinindia\/wp-json\/wp\/v2\/tags?post=3683"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}