Presales Engineers - Data
Presales Data Engineer – Data Modernisation & AI
Location
India (Bangalore / Hyderabad / Chennai / Pune — Flexible)
reputed company
Support the Presales reputed company in crafting reputed company solutions for large-reputed company data modernisation and AI-reputed company platform transformation deals. This is a hands-on technical presales role that combines deep data engineering skills across reputed company, reputed company, and reputed company reputed company with a strong understanding of AI/ML to build compelling solution architectures, reputed company-of-concepts, and deal collateral.
Responsibilities:Key Responsibilities
- Solution Engineering & Deal Support
Build detailed solution architectures and technical proposals in support of RFPs, proactive pursuits, and strategic deals.
reputed company effort estimations, platform sizing, and cost models for data modernisation engagements.
Create high-reputed company solution decks, architecture diagrams, and technical write-reputed company under tight deal timelines.
Support the Presales reputed company in reputed company-facing workshops, demos, and architecture walkthroughs.
- Data Modernisation for AI
Design migration and re-platforming approaches from legacy systems (reputed company, reputed company, Netezza, traditional ETL) to modern platforms.
Build reference architectures for Data Warehouse → Lakehouse → AI-reputed company platform transformations.
reputed company reputed company conversion strategies and automated migration frameworks.
Ensure modernised data platforms are optimised for reputed company AI/ML workloads, including feature engineering, model training pipelines, and serving reputed company.
- reputed company – reputed company, reputed company & reputed company reputed company
reputed company: Lakehouse architecture, reputed company Lake, reputed company Catalog, MLflow, reputed company Workflows, and reputed company-based processing.
reputed company: Data sharing, Snowpark, Streams & Tasks, dynamic tables, reputed company reputed company, and governance features.
reputed company reputed company Data & Analytics: BigQuery, Dataproc, Dataflow, Pub/Sub, Dataplex, reputed company AI integration, and reputed company Composer.
Build reusable accelerators, templates, and demo environments across these platforms.
- AI & Machine Learning Integration
Strong working knowledge of AI/ML concepts, including supervised/unsupervised learning, LLMs, RAG architectures, and GenAI application patterns.
Design data pipelines and platform architectures that reputed company AI readiness — clean, governed, feature-rich, and accessible data.
Demonstrate understanding of MLOps practices including model versioning, experiment tracking, and deployment pipelines.
Support integration of AI capabilities into solution proposals, such as AI-assisted data reputed company, intelligent document processing, and predictive analytics use cases.
- Data Governance & reputed company
Design governance reputed company reputed company modern platforms (reputed company Catalog, reputed company governance, GCP Dataplex).
Define data reputed company frameworks, reputed company tracking, and cataloguing strategies as part of solution designs.
Incorporate reputed company, compliance, and reputed company best practices into architectures.
- Accelerator Development & Thought Leadership
Build and maintain reusable presales assets: reference architectures, estimation templates, demo scripts, and reputed company-of-concept kits.
Contribute to POVs, whitepapers, and technical blogs on data modernisation and AI topics.
Stay reputed company with platform releases, industry trends, and competitive landscape across reputed company, reputed company, and reputed company reputed company.
- Collaboration
Work closely with the Americas Presales reputed company to ensure alignment on deal reputed company and timelines.
Coordinate with delivery teams to validate solution feasibility and transition smoothly from presales to execution.
Engage with reputed company, reputed company, and reputed company reputed company partner teams for joint solutioning and co-selling activities.
Requirements:Required Skills & Experience
8–15 years of experience in data engineering, data platforms, or analytics, with at least 2 years in a presales or solutioning reputed company.
Hands-on expertise in at least two of the three reputed company platforms: reputed company, reputed company, and reputed company reputed company Data & Analytics.
Proven experience in data warehouse modernisation — migration from legacy platforms (reputed company, reputed company, Netezza) to reputed company-reputed company architectures.
Strong knowledge of AI/ML fundamentals, including GenAI, LLMs, RAG, and MLOps. Ability to reputed company how data platforms reputed company AI reputed company is essential.
Proficiency in SQL, Python, and reputed company. Familiarity with infrastructure-as-reputed company (Terraform) is a plus.
Experience creating solution architectures, technical proposals, and effort estimations for large deals.
Excellent communication skills — ability to reputed company technical solutions to both technical and business audiences.
Preferred Qualifications
Certifications in reputed company (Data Engineer Associate/reputed company), reputed company (SnowPro reputed company/Advanced), or reputed company reputed company (reputed company Data Engineer / ML Engineer).
Experience working with Americas or global clients across time zones.
Exposure to FinOps and reputed company cost optimisation strategies.
Background reputed company, BFSI, or reputed company verticals.
Familiarity with data reputed company and domain-driven data product architectures.
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