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Salary
≈ $29k – $53k per year (Estimated)
Location
Hybrid (Hyderabad, India)
Seniority
Staff · 15+ years exp

First seen by Alion on Oct 13, 2026.

Overview
Company
Impact
Profile match
Algoleap is a Hyderabad-based digital product engineering and AI services firm offering software engineering, AI solutions, data, cloud and DevOps, automation and technology advisory to enterprises. Operating as Algoleap Technologies Pvt Ltd from HITEC City in Hyderabad, with a US address in Plainfield, Illinois, it works in heavily regulated industries on client lifecycle management, sustainable finance, data strategy and cloud adoption, and runs Algoleap Digital Studios. Its openings, mostly in Hyderabad and Bengaluru, include .NET, FileNet, Salesforce and backend developers, AI engineers, data scientists and architects, Kubernetes and Azure engineers and database administrators.

Role Overview :

The ideal candidate will lead end-to-end architecture - solution design centered on Snowflake, enabling scalable, secure, and AI-ready data platforms for commercial real estate business and its stakeholders.

Total Experience : 15+ years

Key Responsibilities :

- Own the end-to-end Snowflake architecture: account/org topology, databases, schemas, warehouses, and multi-environment strategy.

- Design the data layering model for CRE domains: property, lease, availability, sales, organization, contact.

- Define semantic views and models so BI and LLM/NL-query tools consume governed, business-friendly entities.

- Set warehouse sizing, scaling, and workload isolation.

- Establish naming conventions, object ownership, and reference architecture patterns.

Data Modeling & Engineering Leadership :

- Define dimensional/data-vault or hybrid models and canonical join keys to prevent fanout.

- Guide ETL/ELT pipeline design, including ingestion from CRM (Salesforce), market feeds, and third-party CRE sources.

- Lead use of dynamic tables, streams, tasks, and Snowpark for transformation.

Data Governance, Security & Compliance :

- Architect RBAC: role hierarchy, functional/access roles, and segregation of duties.

- Implement column-level security, row-level security, object tagging, and sensitive-data classification.

- Define data quality monitoring and auditing via Access History.

Performance, Cost & Reliability (FinOps) :

- Optimize query performance: clustering keys, search optimization, pruning, and caching.

- Own cost governance: warehouse auto-suspend/resume, resource monitors, and budgets.

AI / Analytics Enablement :

- Enable natural-language querying and analytics on CRE data through semantic models and Cortex.

- Partner with data science on feature stores and governed access to sensitive attributes.

DevOps, CI/CD & Operations :

- Establish Infrastructure-as-Code (schemachange/Terraform/dbt) and Git-based deployment.

Strategy & Leadership:

- Set the Snowflake roadmap and reference standards; act as design authority.

- Translate CRE business needs into platform capabilities.

Key Qualifications :

- 15+ years of overall experience in data architecture, data engineering, or enterprise data platforms.

- Advanced SQL skills and strong Python experience.

- Hands-on expertise with Snowflake key features (Account/warehouse/database design, RBAC, Snowpark, governance suite).

- Strong dimensional modeling and medallion/layered architecture patterns.

- Experience with dbt, orchestration (Airflow), and CI/CD pipelines.

- Cloud proficiency (Azure preferred) and familiarity with containerization.

- Excellent stakeholder management and architectural leadership skills.

Skills

Data Architect, Data Engineering, SQL, Python, Data Modeling, Snowflake DB, Data Build Tool

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