GCP Data solution lead

Job Description:

Position Overview

We are seeking a highly experienced Senior Sales Engineer with 12+ years of expertise across cloud data platforms, data engineering, analytics, and solution architecture. This role combines deep technical delivery experience with strong pre-sales, client advisory, and deal-shaping capabilities.
The ideal candidate must have implemented at least two end to end data management solutions (ex: modernization, customer 360, data products) on GCP tech stack, snowflake or Databricks. They should have integrated data from leading ERP/CRM like SAP, Oracle, Salesforce as well as unstructured data sources like PDF, JPG etc.
You will work closely with sales, consulting, and engineering teams to design high-impact data solutions and guide clients through their cloud and analytics transformation journeys.

Key Responsibilities

Rapid Prototyping and Partner sales engineering
Ability to discover, ideate and build rapid prototypes independently on GCP or hybrid data stacks.
Ability to demonstrate and articulate value of the solutions using show and tell approach.
Ability to work with marketing team to put together the demo script and help create marketing videos that can be published on various social channels.
Ability to work with partner account executives and solution architects to drive new logo acquisition.
Ability to present to technical and executive audience in webinars, events or conferences and be the technical brand ambassador for the firm.

Trusted Technical Ally to the Client
Serve as a trusted advisor to client executives—translating business strategy into technical solutions and roadmaps.

Lead discovery workshops with business and IT stakeholders to capture requirements and define solution approaches.
Evaluate and propose the best of breed enterprise data architecture, modernization patterns, emerging trends on data product implementation on preferred tech stack.
Ability to perform architecture reviews, troubleshoot performance issues, and validate technical solutions.
Develop compelling value propositions and technical narratives for proposals, RFP/RFI responses, and client presentations.

Innovation, Startup mindset and Domain Expertise
Ability to imagine art of the possible in evolving technology landscape for next 3 to 5 years
Ability to be a citizen AI developer to design, build and utilize AI tools for day to day data engineering, data analytics and AI ready data apps
Understanding of open data initiatives, common information data models for retail, finance and health care domains
Demonstrated experience in implementing data solutions for key enterprise functions like supply chain, finance etc.
Contribute to technical white papers, partner solution blogs, community speaking sessions etc.
Agile and startup mindset to build and deliver outcomes to clients quickly and efficiently

Solution Architecture & Technical Leadership
Build solution architectures that balance business outcomes, technical feasibility, and commercial viability.
Architect scalable data platforms on GCP using Big Query, Pub/Sub, Dataflow, Data proc, Cloud Storage, Composer, Looker, and related services.
Design end-to-end solutions including ingestion, processing, transformation, modelling, orchestration, and consumption layers.
Incorporate Snowflake, Databricks, or hybrid architectures where beneficial.
Contribute and maintain the playbooks for sales, pursuit and delivery of lakehouse and analytics development life cycle
Provide modernization strategies for legacy data warehouses, ETL platforms, and analytics environments.

Data Governance & Data Management
Define frameworks for data governance, including metadata management, data quality, lineage, access controls, and stewardship models.
Experience with governance and catalog tools (e.g., Collibra, Atlan, Alation, Informatica, or cloud-native equivalents).
Advise clients on implementing enterprise-wide governance operating models and policies.
Integrate governance with data platform architectures to ensure compliant, trusted data environments.

BI, Analytics & Visualization
Experience designing consumption layers using tools such as Looker, Tableau, Power BI, Qlik, or other modern BI platforms.
Define semantic models, dashboards, KPI frameworks, and self-service analytics patterns.
Partner with business teams to ensure analytics solutions meet usability, performance, and functional needs.

Qualifications
12+ years in data engineering, data architecture, analytics, or cloud-based data solutions.
8+ years in GCP data architecture with deep knowledge of core GCP analytics components.
End to End implementation experience of two complex data modernization programs from presales to production go live
Ability to jointly or independently drive and influence revenue growth of $1M-$5M
Proven experience in pursuit life cycle management from initiation to Orals
Strong communication, storytelling, and executive-level presentation skills.

Preferred certifications:
- Google Professional Data Engineer / Cloud Architect
- Snowflake Snow Pro certifications
- Databricks Data Engineer or Architect certifications

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