Principal Lead- Product Data Engineer

Description

The Technical Product Analyst (TPA) plays a pivotal role in an engineering driven delivery model. Unlike traditional Business Systems Analyst roles, this position requires strong technical depth and the ability to directly participate in solution design, data modeling, and implementation readiness.
The role partners closely with Product Owners, Data Engineers, Solution Architects, and Platform Engineering teams to ensure clarity, technical feasibility, and executional excellence across initiatives involving cloud data platforms, analytics, and automation.

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

Full time

Timings

(2:00p-10:30p)

India Business Unit

AWMPO AWMP&S President's Office

Job Family Group

Technology