Principal Lead- Product Data Engineer

About Our Company

Ameriprise India LLP has been providing client based financial solutions to help clients plan and achieve their financial objectives for 20 years. We are part of Ameriprise Financial Inc., a US financial planning company headquartered in Minneapolis with a global presence and diversified financial services leader with more than $1.5 trillion in assets under management, administration and advisement as of year-end 2024. The firm’s focus areas include Asset Management and Advice, Retirement Planning and Insurance Protection.

Be part of an inclusive, collaborative culture that rewards you for your contributions, and work with other talented individuals who share your passion for doing great work. You’ll also have plenty of opportunities to make your mark at the office and a difference in your community. So, if you're talented, driven and want to work for a strong, ethical company that cares, take the next step and create a career at Ameriprise India LLP.

Job Description

Key Responsibilities

Product & Requirement Translation

• Partner with Product Owners and stakeholders to translate business outcomes into technically actionable, build‑ready requirements

• Decompose epics and features into engineering‑backed user stories with clear acceptance criteria and technical context

• Ensure alignment between product intent, architectural standards, and platform capabilities

Technical & Engineering Collaboration

• Act as a technical conduit between product and engineering teams, ensuring shared understanding of design trade‑offs and constraints

• Participate in solution discussions, architecture reviews, and technical refinement sessions

• Validate requirements against data models, APIs, pipelines, and cloud infrastructure patterns

Hands‑On Technical Contribution

• Contribute directly to data analysis, SQL queries, schema definitions, metadata documentation, and pipeline validation

• Experience supporting initiatives involving cloud modernization, cost optimization, or AI enablement

• Support engineering teams with implementation‑level artifacts such as data contracts, business logic mapping, and quality rules

• Validate delivered solutions through hands‑on testing, data reconciliation, and functional verification

Data Quality, Reliability & Automation

• Define and embed data quality checks, reconciliation logic, and reliability metrics into delivery workflows

• Support automation of validation, monitoring, and reporting wherever feasible

• Partner with engineers to ensure observability, lineage, and governance considerations are addressed early

Delivery & Operational Excellence

• Enable faster, more predictable delivery by reducing ambiguity and rework through high‑quality technical documentation

• Support backlog prioritization with a clear understanding of technical dependencies and delivery risks

• Contribute to continuous improvement of delivery processes and engineering best practices

Required Skills & Experience

Technical Skills

• Strong hands‑on experience with SQL and data analysis across large datasets

• Solid understanding of cloud data platforms (AWS, Azure, or GCP)

• Familiarity with modern data architectures:

  • Data lakes / Lakehouses

  • ELT/ETL pipelines

  • Streaming or batch data processing

• Working knowledge of:

  • APIs and data integration patterns

  • Data modeling (conceptual, logical, and physical)

  • Data quality and reconciliation frameworks (SODA)

• Comfortable working in Agile / DevOps delivery models

Product & Analytical Skills

• Ability to connect business objectives to technical implementation details

• Strong analytical mindset with the ability to reason through complex data and system interactions

• Experience working with product backlogs, user stories, and acceptance criteria

Collaboration & Communication

• Proven ability to effectively collaborate with engineering‑heavy teams

• Clear, concise communicator capable of documenting complex technical concepts for diverse audiences

• Comfortable challenging assumptions and driving clarity in ambiguous problem spaces

Preferred Qualifications

• Experience in data engineering, analytics engineering, or platform engineering teams

• Exposure to automation, orchestration, or CI/CD pipelines

• Background transitioning from or working alongside traditional BA/BSA roles within modern data teams.

In-Office Collaboration
We are a client-centric, relationship-based business. Working together, in-person, is foundational to how we achieve results. By fostering a culture of face-to-face collaboration, idea sharing, productivity and personal connection, we deliver for our stakeholders — clients, advisors, employees and shareholders. Our employees work in the office at least three (3) days per week, with flexibility to work from home two (2) days per week. Some roles may require additional in-office time or different in-office expectations, and specific requirements will be discussed during the hiring process.

Full-Time/Part-Time

Timings

India Business Unit

Job Family Group

Ameriprise India LLP is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, genetic information, age, sexual orientation, gender identity, disability, military status, veteran status, marital status, pregnancy, family status or any other basis prohibited by law.

We are committed to fostering an inclusive and accessible recruitment process for individuals with disabilities. If you require a reasonable accommodation to participate in the application or interview process, speak to your recruiter to discuss how we can support you.