Data Platform Lead (Snowflake + AWS + dbt + Financial Planning)

• *Data Platform Lead (Snowflake \+ AWS \+ dbt \+ Financial Planning)**

• *Location:** RT Nagar /Bangalore
• *Experience Required:** 3 to 4\+ years
• *Job Type:** Full\-Time
• *Department:** Data Engineering / Technology / Platform Modernization

• *Role Overview**

We are seeking an experienced **Data Platform Lead** with strong expertise in **Snowflake, AWS, dbt**, and end\-to\-end modern data platform engineering—combined with the ability to **create financial projections, budgets, cost forecasts, and investment requirements** related to the project.

This role blends **technical leadership \+ financial planning**, ensuring the successful delivery of the entire cloud data platform while also owning the budgeting needed for implementation, migration, scaling, and long\-term sustainability.

You will drive architecture, migration, platform build\-out, governance, orchestration **and** prepare financial models that justify costs, track spending, forecast usage, and support management decision\-making.

• *Key Responsibilities**

• *1\. End\-to\-End Data Platform Architecture**

• Architect and build a full modern data stack using **AWS → Snowflake → dbt**.
• Design raw, staging, core, and datamart layers following best practices.
• Establish Dev/Prod environments, CI/CD pipelines, and automated execution flows.

• *2\. AWS Cloud Engineering**

• Build cloud infrastructure including S3, IAM, Lambda, Step Functions, VPC, PrivateLink, KMS.
• Set up secure data ingestion pipelines and AWS\-native services for automation.

• *3\. Snowflake Platform Ownership**

• Configure warehouses, schemas, RBAC, pipes, file formats, tasks, and governance structures.
• Monitor compute usage, storage, and credits; optimize costs and performance.
• Oversee migration and validation of all datasets into the Snowflake ecosystem.

• *4\. dbt Modelling \& Transformations**

• Lead the development of dbt models (stage → core → mart).
• Configure dbt jobs, CI pipelines, tests, macros, and documentation.
• Implement best practices for performance, modularity, and maintainability.

• *5\. Orchestration \& Automation**

• Build orchestration flows using **AWS Step Functions, Airflow, or equivalent tools**.
• Define execution chains, rerun logic, error notifications, and monitoring dashboards.

• *6\. Data Migration \& Repointing**

• Lead complete migration of 20–30 existing pipelines, models, and dashboards.
• Align legacy models to new dbt architecture.
• Repoint BI dashboards (PowerBI/Tableau/Looker) to new data marts.

• *7\. Governance, Security, and Compliance**

• Establish RBAC, access roles, object\-level security, and encryption standards.
• Implement audit logs, data retention policies, and cost monitoring systems.
• Maintain platform documentation, design diagrams, SOPs, and runbooks.

• *8\. Financial Planning \& Budget Ownership (New Requirement)**

• *Financial Responsibilities**

• Build **detailed financial models** for platform costs (AWS, Snowflake, dbt, orchestration tools).
• Forecast **monthly, quarterly, and annual costs**, including compute, storage, credits, licensing, and resource usage.
• Prepare **investment requirements**, including:
• Resource allocation
• Migration costs
• Infrastructure scaling estimates
• Third\-party tool subscriptions
• Vendor onboarding costs
• Identify cost\-saving opportunities and present ROI calculations.
• Monitor **actual vs. budgeted** usage and report variances.
• Work closely with the CFO office to finalize capex/opex related to the data platform.

• *Business \& Management Collaboration**

• Present budget plans, cost models, and financial projections to executive leadership.
• Provide financial justification for architectural choices.
• Support strategic decisions with cost\-benefit analysis and scenario modelling.

• *9\. Leadership \& Collaboration**

• Lead a cross\-functional delivery team (Data Engineers, DevOps, BI, SMEs).
• Collaborate with Product, Engineering, DevOps, and Business teams.
• Mentor junior engineers and guide best practices for the data ecosystem.

• *Required Skills \& Experience**

• *Technical Expertise (Mandatory)**

• **Snowflake:** deep experience with RBAC, tasks, warehouses, cost optimization
• **AWS:** S3, Lambda, IAM, VPC/PrivateLink, Step Functions, KMS
• **dbt:** model design, testing, workflow orchestration, CI/CD
• **Python:** ETL scripting, automation, data workflows
• **CI/CD:** GitHub Actions, automated deployments
• **IaC:** Terraform or AWS CDK (Python preferred)

• *Financial \& Business Expertise (Mandatory)**

• Strong understanding of cloud cost models (Snowflake credits, AWS services).
• Ability to create:
• Budget forecasts
• Cost breakdown sheets
• Investment requirement models
• Resource allocation plans
• ROI calculations
• Experience working with finance teams to validate budgets.

• *Experience**

• 7–12\+ years in Data Engineering or Cloud Platform roles.
• Proven track record delivering large\-scale platform migrations.
• Experience handling financial modeling for technical projects is a strong advantage.
• Background in EdTech, SaaS, or high\-scale product companies preferred.

• *Soft Skills**

• Strong analytical \& architectural thinking
• Financial acumen \& cost\-awareness
• Leadership \& stakeholder communication
• Problem solving \& decision\-making
• Documentation excellence
• Ownership mentality \& delivery discipline

• *What We Offer**

• Opportunity to architect and scale a flagship cloud data platform
• Hands\-on work with modern data technologies (Snowflake, dbt, AWS)
• High visibility and decision\-making authority
• Competitive compensation \+ performance rewards
• Fast career growth in a rapidly scaling EdTech ecosystem

• *Employment Type**

This position is offered as an **initial 6\-month contract**. Based on the candidate's performance and the client's business requirements, there is an opportunity to be converted into a **full\-time permanent role** upon successful completion of the contract period.

• *Employment Type:** 6\-Month Contract (Potential for Full\-Time Employment)

Work Location: In person