Description
Job Location
The primary work location for this role is Trivandrum with a hybrid work model.
About Envestnet
Envestnet is an adaptive WealthTech company that is redefining the future of wealth management by helping advisors meet the moment with its comprehensive technology, actionable insights, and industry leading support. Backed by over 25 years of experience and approximately $7.0 trillion in platform assets, Envestnet is trusted by over one third of financial advisors across leading banks, wealth managers, brokerages, and RIAs.
For a deeper look at how Envestnet is shaping the future of financial advice, visit www.envestnet.com.
The Team You’ll Join
You will join the Data Engineering and Data Strategy team, which is building the next generation enterprise data and analytics platform in a highly secure cloud environment. The team designs and delivers data pipelines, transformations, data models, shared data products, and analytics foundations that support platform users and enterprise stakeholders.
The team works on bringing Platforms into a medallion architecture; modernizing ingestion and transformation patterns; establishing a canonical Common Data Model and semantic foundation; and strengthening governance, data quality, monitoring, and cross-team delivery practices.
How You’ll Contribute
In this implementation-focused role, you will design, build, test, troubleshoot, and optimize reliable data solutions. You will collaborate with data, analytics, platform, and business stakeholders to reproduce trusted reporting capabilities while advancing reusable enterprise standards.
- Deliver end-to-end data and analytics capabilities, including data modeling, ingestion, transformation, orchestration, testing, and production support.
- Develop scalable, secure, observable, and fault-tolerant workflows using SQL, Python, PySpark, Snowflake, dbt, Airflow, Spark, and AWS services.
- Build and maintain Bronze, Silver, and Gold layer transformations aligned with medallion architecture and enterprise star-schema standards.
- Support onboarding and integration of strategic platforms using reusable integration patterns.
- Create source-to-enterprise mappings and contribute to canonical data models, semantic definitions, and reusable Gold-layer data products.
- Reproduce and validate existing extracts, reports, and datasets by reconciling new platform outputs against current production outputs.
- Implement automated data quality controls, monitoring, alerting, scorecards, and reusable testing libraries across data platform layers.
- Analyze source systems, client data, and business requirements to determine solution feasibility and translate needs into maintainable technical designs.
- Document issues, designs, lineage, solutions, findings, and recommendations clearly for internal and external stakeholders.
- Use AI-assisted engineering capabilities responsibly to build, debug, test, improve productivity, and accelerate delivery while maintaining review and quality standards.
What You’ll Need to Bring
- Bachelor's degree in computer science, engineering, information systems, or a relevant field, or equivalent practical experience.
- Hands-on data engineering experience using advanced SQL and Python; experience with PySpark or Spark for distributed data processing.
- Experience designing and operating ETL or ELT pipelines, dimensional data models, and production-grade data workflows.
- Practical experience with Snowflake, dbt, Airflow, and AWS data services in a cloud-based data platform environment.
- Working knowledge of CI/CD, version control, automated testing, and deployment practices using GitLab, AWS CodeCommit, or comparable tools.
- Ability to gather and interpret business requirements, collaborate across remote teams, and deliver effectively using Agile methods and Jira or similar tools.
Nice-to-Haves
- Experience with Snowflake data sharing, Fivetran, Kafka, Estuary, AtScale, or comparable integration and semantic-layer technologies.
- Knowledge of SQL, NoSQL, or graph databases and exposure to business intelligence or machine learning libraries.
- Experience implementing canonical data models, enterprise semantic layers, star schemas, or master data and entity matching patterns.
- Experience with AWS services such as EMR, Glue, Athena, Batch, Lambda, CloudWatch, DynamoDB, EC2, CloudFormation, and IAM.
- Experience with enterprise data governance, metadata, lineage, data classification, privacy, retention, and data-sharing controls.
- Experience with automated reconciliation, data quality scorecards, operational dashboards, and tools such as Soda or Elementary.
- A relevant master’s degree or AWS Solutions Architect, Developer, or Data Analytics certification.
Why You’ll Enjoy Working at Envestnet
Help shape the future of WealthTech. At Envestnet you’ll gain hands-on experience and collaborate with some of the industry’s brightest minds to deliver meaningful, innovative solutions that make a real difference.
We value flexibility in how and where work gets done, and we recognize strong performance with meaningful rewards—because your contributions should drive both business success and your own personal growth. If you’re looking for a place where your work has impact, your development is supported, and your contributions are truly valued, Envestnet is where you can build your future.
The opportunity is now!
Our Investment in You
At Envestnet, our total rewards philosophy is designed to attract, motivate, and grow exceptional talent. We offer competitive, market-aligned compensation complemented with performance-linked incentives and rewards programs that recognize and reward impact.
In addition, we provide a comprehensive suite of benefits - subject to Envestnet’s plan eligibility rules - that support your overall well-being, including medical insurance for you and your family, annual health check-ups, free online doctor consultations and telemedicine services, subsidized health club memberships, and an employee assistance program. Our investment in you means supporting you professionally, financially, and personally at every stage of your journey with us.
Our Commitment to Inclusion & Belonging
Envestnet is an Equal Employment Opportunity employer and does not discriminate in employment on the basis of religion, race, color, caste, sex, gender, gender identity or expression, pregnancy, age, disability, medical condition, nationality, ethnic origin, marital status, or any other status protected under applicable Indian law. This commitment is in accordance with the Constitution of India and applicable labor and employment laws. All employment decisions are made solely based on merit, qualifications, performance, and business needs.
We strive to provide an inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation, please contact us at [email protected]. Please include your full name, the title of the role you are applying for, and the accommodation necessary to assist you with the recruiting process.
Recruitment Fraud
At Envestnet, safeguarding the trust and safety of job seekers is a top priority. We are aware that scammers may impersonate Envestnet recruiters or create fake job opportunities to deceive candidates. Review the information on our recruitment fraud awareness page to help you recognize and avoid recruitment fraud.
