27 days ago
Bengaluru, IndiaStaff+
Responsibilities
- Collaborate with stakeholders to translate business requirements into cloud data architecture strategies and solutions.
- Design and implement scalable, secure, high-performing Data Lakehouse architectures using Databricks and cloud services.
- Modernize legacy data systems and migrate them to cloud-based architectures with minimal disruption.
- Design and implement data pipelines, transformation processes, streaming, and data integration solutions.
- Implement data governance, data quality, data privacy, compliance, security, encryption, access controls, and data masking practices.
- Optimize, monitor, and troubleshoot data platforms for performance, scalability, and cost efficiency.
- Provide subject-matter expertise, recommendations, and guidance on data architecture and cloud technologies.
- Mentor junior team members and groom team members in pre-sales activities.
- Lead and coordinate medium-to-large RFP responses and develop end-to-end big-data and analytics technical solutions.
- Prepare and deliver client presentations and collaborate with Sales, Vertical, and competency teams.
Requirements
- In-depth experience designing and implementing scalable, secure, and high-performing cloud Data Lakehouse architectures using Databricks.
- Proficiency with AWS, Microsoft Azure, or Google Cloud Platform and their data services.
- Expertise in data modernization, cloud migration, data integration, ETL, data pipelines, and data streaming.
- Hands-on experience with Python, Kafka, PySpark, dbt, cloud-provider ETL services, SQL, and PL/SQL.
- Familiarity with relational and non-relational databases, data lakes, and data warehouses.
- Strong hands-on knowledge of data modeling techniques using ERwin.
- Knowledge of data governance, data quality, data lineage, data privacy, compliance, and data security principles.
- Proficiency in Python, Java, or Scala and scripting with SQL or Shell scripting.
- Ability to lead RFPs, construct big-data and analytics solutions, and communicate solutions through PowerPoint or Word documents and client presentations.
- Excellent communication and collaboration skills with stakeholders, business users, and technical teams.
- At least one Databricks certification at the Associate or Professional level is mandatory.
- Bachelor's degree in Business Analytics, Computer Science, or Statistics, or a master's degree in Data Science.
- Hybrid cloud domain exposure and end-to-end data architecture experience are preferred.
- English proficiency at C2 level is required.
Benefits
- Hybrid work arrangement with flex-time shifts in India.
- Hands-on experience, mentorship, and learning opportunities.
- Opportunity to lead AI-powered transformation and enterprise business-impact initiatives.
- Values-driven culture emphasizing integrity, inclusion, collaboration, and innovation.
Tech Stack
Categories
Data Engineering
About Genpact
Genpact is a global professional services and technology firm that runs and transforms mission-critical operations for large enterprises through consulting, managed services, and AI- and analytics-driven platforms. It serves industries such as banking, insurance, healthcare, and manufacturing/supply chain, modernizing finance, risk, customer service, and back-office processes. Headquartered in New York and listed on the NYSE (G), Genpact originated within GE before becoming an independent public company.