Senior Data Engineer – Analytics Platform | AWS | Snowflake | dbt | Remote/Contract

Senior Analytics Engineer – Data Platform

Location: Remote / Coimbatore, Tamil Nadu

Engagement: Contractor preferred | Full-time candidates may also be considered

Work Model: Remote-friendly

Coimbatore Requirement: Must be available to travel to our Coimbatore office once per month

About the Role

We are looking for a highly experienced Senior Analytics Engineer – Data Platform who can operate as both a hands-on technical leader and platform owner .

This is not a role for someone who simply executes tickets. We need someone who can own the data platform end-to-end , make strong architectural decisions, build scalable data solutions, establish engineering standards, and confidently communicate technical trade-offs to senior leadership and business stakeholders.

The ideal candidate will be exceptionally strong technically , with deep expertise in AWS, Snowflake, dbt, SQL, Python, data modeling, data governance, and BI , combined with outstanding written and verbal communication skills .

You will work closely with Data, Engineering, Modeling, Actuarial, Compliance, and business teams while owning the roadmap and reliability of the analytics platform.

What You’ll Own

Data Platform & Pipeline Engineering

• Own the complete data lifecycle — ingestion, transformation, modeling, semantic layer, and BI delivery.
• Build and maintain scalable pipelines across AWS, Snowflake, dbt, Glue, Step Functions, S3, and Lambda .
• Monitor pipeline health, troubleshoot data issues, and drive resolution with internal teams and external providers.
• Partner with third-party infrastructure vendors and oversee DataOps practices.
• Establish engineering standards for reliability, scalability, observability, and maintainability.

Data Architecture, Modeling & Governance

• Design and evolve enterprise data models across multiple sources, products, and business domains.
• Build and maintain data dictionaries, business definitions, lineage, and data quality standards.
• Implement Snowflake security practices including RBAC, dynamic masking, least-privilege access, and performance/cost optimization .
• Support data governance, auditability, compliance, and security requirements.

Systems of Record & AI Data Infrastructure

• Design reliable systems of record for core business domains.
• Implement appropriate versioning, effective dating, and audit history.
• Support data infrastructure for AI/ML use cases, including feature stores, vector databases, and model input/output pipelines.

Semantic Layer & BI

• Own and evolve the analytics semantic layer.
• Build executive-level and operational dashboards.
• Establish BI development standards and best practices.
• Translate complex business requirements into scalable analytical solutions.

Technical Leadership

• Own the technical roadmap for the analytics/data platform.
• Make architecture and technology decisions with long-term scalability in mind.
• Mentor junior data and analytics professionals.
• Communicate technical risks, trade-offs, and recommendations clearly to senior leadership.
• Work effectively across engineering, business, actuarial, compliance, and external partners.

Must-Have Technical Expertise

We are looking for someone who is genuinely hands-on and technically strong across the data stack.

• 8+ years of experience in Analytics Engineering, Data Engineering, or a closely related discipline.
• Expert-level SQL .
• Strong hands-on Python experience for data engineering, automation, and pipeline development.
• Deep experience with Snowflake , including:
• RBAC
• Dynamic data masking
• Performance optimization
• Cost governance
• Strong hands-on experience with dbt for transformation, testing, and data modeling at scale.
• Strong AWS data engineering experience with:
• AWS Glue
• Step Functions
• S3
• Lambda
• Experience designing enterprise data models and semantic layers .
• Experience building and owning BI platforms and executive dashboards .
• Strong understanding of data governance, data quality, lineage, and security .
• Hands-on experience with Terraform, CloudFormation, or equivalent Infrastructure-as-Code tools .
• Experience with Git, CI/CD, and modern data engineering practices.
• Experience with distributed processing such as Spark / AWS Glue / EMR is highly valuable.

Compliance & Data Security

E…