Senior Data & Platform Engineer-

Senior Data & Platform Engineer- Day 1 onsite Dallas TX-Onsite

Who are we looking for:

We are looking for a Senior Data & Platform Engineer. Candidate will design and operate data pipelines that connect heterogeneous source systems normalize data into consumption-ready models in Snowflake and build AI-powered agents that surface intelligence across the platform.

Core Responsibilities:

Snowflake engineering: Design schemas write performant SQL manage roles & warehouse sizing and implement change management practices.

ETL 0r ELT development: Build and maintain pipelines that ingest from diverse sources (APIs databases event streams) and normalize data for BI and downstream consumers.

AI agent development: Leverage Snowflake Cortex and AI agent frameworks to build intelligent data products and automate analytical workflows.

Backend & API connectivity: Develop backend integrations with internal and third-party systems via REST APIs and backend services.

Required Skills:

Snowflake Hands-on experience building and optimizing data models writing advanced SQL (PIVOT GROUPING SETS ROLLUP/CUBE) and managing Snowflake environments in production.

Multi-source integration Proven ability to connect and ingest data from heterogeneous sources including relational databases REST APIs SaaS platforms and event streams.

ETL or ELT design Experience designing normalized schemas and transformation pipelines that produce clean consumption-ready data models (star/snowflake schema dimensional modeling).

Python Strong proficiency in Python for data engineering tasks: pipeline orchestration data transformation API clients and scripting automation.

AI agents within Snowflake Familiarity with Snowflake Cortex LLM functions and agent-based patterns for building intelligent data-driven workflows inside the Snowflake ecosystem.

Backend integration patterns Practical experience building backend services and integrations using Python REST APIs and related tooling (authentication pagination error handling retry logic).

Additional skills:

PostgreSQL & relational databases Working knowledge of PostgreSQL or equivalent RDBMS including query optimization indexing and schema design patterns.

Go (Golang) Experience building backend services or microservices in Go is a strong differentiator.

Cloud data infrastructure Familiarity with Azure or AWS data services (e.g. Azure Data Factory Event Hubs S3) as source or orchestration layers.

Data observability & testing Experience with data quality frameworks dbt tests or observability tooling (Great Expectations Monte Carlo etc.).

Youre a self-directed engineer who thrives at the intersection of data engineering and platform thinking. You can navigate ambiguous requirements design for scale and communicate clearly across engineering and product stakeholders. You care about data quality documentation and building systems that other teams love to consume.

Process Skills:

Excellent written and verbal communication skills

Capable of analyzing requirements and develop software as per project defined software process.

Develop and peer review (Initiate/ participate in peer reviews)

Behavioral Skills:

Resolve technical issues of projects and explore alternate designs.

Participates as a team member and fosters teamwork by inter-group coordination within the modules of the project.

Effectively collaborates and communicates with the stakeholders and ensure client satisfaction.

Train and coach members of project groups to ensure effective knowledge management activity.