Technology

VP, Data engineering Tech Lead (L12)

Locations: Hyderabad, Telangana, IN | Calcutta, West Bengal, IN | Delhi, Delhi, IN | Pune, Maharashtra, IN | | Hyderabad, Telangana, IN

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Job ID: 2501148

Job Description:

Role Title: VP, Data Engineering Tech Lead (L12)

Company Overview:

COMPANY OVERVIEW: Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry’s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more.

  • We have recently been ranked #5 among India’s Best Companies to Work for 2023, #21 under LinkedIn Top Companies in India list, and received Top 25 BFSI recognition from Great Place To Work India. We have been ranked Top 5 among India’s Best Workplaces in Diversity, Equity, and Inclusion, and Top 10 among India’s Best Workplaces for Women in 2022.

  • We offer 100% Work from Home flexibility for all our Functional employees and provide some of the best-in-class Employee Benefits and Programs catering to work-life balance and overall well-being. In addition to this, we also have Regional Engagement Hubs across India and a co-working space in Bangalore

Organizational Overview:

Organizational Overview: This role will be part of the Data Architecture & Analytics group part of CTO organization

  • Data team is responsible for designing and developing scalable data pipelines for efficient data ingestion, transformation, and loading(ETL).

  • Collaborating with cross-functional teams to integrate new data sources and ensure data quality and consistency.

  • Building and maintaining data models to facilitate data access and analysis by Data Scientists and Analysts.

  • Responsible for the SYF public cloud platform & services.

  • Govern health, performance, capacity, and costs of resources and ensure adherence to service levels

  • Build well defined processes for cloud application development and service enablement.

Role Summary/Purpose:

  • We are seeking a highly skilled Cloud Technical Lead with expertise in Data Engineering who will work in multi-disciplinary environments harnessing data to provide valuable impact for our clients.

  • The Cloud Technical Lead will work closely with technology and functional teams to drive migration of legacy on-premises data systems/platforms to cloud-based solutions.

  • The successful candidate will need to develop intimate knowledge of SYF key data domains (originations, loan activity, collection, etc.) and maintain a holistic view across SYF functions to minimize redundancies and optimize the analytics environment.

Key Responsibilities:

  • Manage end-to-end project lifecycle, including planning, execution, and delivery of cloud-based data engineering projects.

  • Providing guidance on suitable options, designing, and creating data pipeline for the analytical solutions across data lake, data warehouses and cloud implementations.

  • Architect and design robust data pipelines and ETL processes leveraging Ab Initio and Amazon Redshift.

  • Ensure data integration, transformation, and storage process are optimized for scalability and performance in cloud environment.

  • Ensure data security, governance, and compliance in the cloud infrastructure.

  • Provide leadership and guidance to data engineering teams, ensuring best practices are followed.

  • Ensure timely delivery of high-quality solutions in an Agile environment.

Required Skills/Knowledge:

  • Bachelor's degree in Computer Science or similar technical field of study

  • Minimum 10+ years of experience in managing large scale data platforms (Data warehouse/Data Late/Cloud) environments

  • Minimum 10+ years of financial services experience

  • Minimum 6+ years of experience working with Data Warehouses/Data Lake/Cloud.

  • 6+ years’ of hards-on programming experience in ETL tools – Ab Initio or Informatica highly preferred. Be able to read and reverse engineer the logic in Ab Initio graphs.

  • Hands on experience with cloud platforms such as S3, Redshift, Snowflake, etc.

  • Working knowledge of Hive, Spark, Kafka and other data lake technologies.

  • Strong familiarity with data governance, data lineage, data processes, DML, and data architecture control execution.

  • Experience to analyze system requirements and implement migration methods for existing data.

  • Ability to develop and maintain strong collaborative relationships at all levels across IT and the business.

  • Excellent written and oral communication skills, along with a strong ability to lead and influence others.

  • Experience working iteratively in a fast-paced agile environment.

  • Demonstrated ability to drive change and work effectively across business and geographical boundaries.

  • Expertise in evaluating technology and solution engineering, with strong focus on architecture and deployment of new technology

  • Superior decision-making, client relationship, and vendor management skills.

Desired Skills/Knowledge:

  • Prior work experience in a credit card/banking/fintech company.

  • Experience dealing with sensitive data in a highly regulated environment.

  • Demonstrated implementation of complex and innovative solutions.

  • Agile experience using JIRA or similar Agile tools.

Eligibility Criteria:

  • Bachelor's degree in Computer Science or similar technical field of study (Masters degree preferred)

  • Minimum 12+ years of experience in managing large scale data platforms (Data warehouse/Data Late/Cloud) environments

  • Minimum 12+ years of financial services experience

  • Minimum 8+ years of experience working with Oracle Data Warehouses/Data Lake/Cloud

  • 8+ years’ of programming experience in ETL tools – Ab Initio or Informatica highly preferred. Be able to read and reverse engineer the logic in Ab Initio graphs.

  • Hands on experience with cloud platforms such as S3, Redshift, Snowflake, etc.

  • Rigorous data analysis through SQL in Oracle and various Hadoop technologies. 

  • Involvement in large scale data analytics migration from on premises to a public cloud

  • Strong familiarity with data governance, data lineage, data processes, DML, and data architecture control execution.

  • Experience to analyze system requirements and implement migration methods for existing data.

  • Excellent written and oral communication skills, along with a strong ability to lead and influence others.

  • Experience working iteratively in a fast-paced agile environment.

Work Timings: 3:00 PM IST to 12:00 AM IST

(WORK TIMINGS: This role qualifies for Enhanced Flexibility and Choice offered in Synchrony India and will require the incumbent to be available between 06:00 AM Eastern Time – 11:30 AM Eastern Time (timings are anchored to US Eastern hours and will adjust twice a year locally). This window is for meetings with India and US teams. The remaining hours will be flexible for the employee to choose. Exceptions may apply periodically due to business needs. Please discuss this with the hiring manager for more details.)

For Internal Applicants:

  • Understand the criteria or mandatory skills required for the role, before applying

  • Inform your manager and HRM before applying for any role on Workday

  • Ensure that your professional profile is updated (fields such as education, prior experience, other skills) and it is mandatory to upload your updated resume (Word or PDF format)

  • Must not be any corrective action plan (First Formal/Final Formal, PIP)

  • L10+ Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible.

  • L10+ Employees can apply

Level / Grade : 12

Job Family Group:

Information Technology

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