Data solutions architect

About the Company

We are seeking an accomplished Data Solutions Architect with deep experience in designing, implementing, and optimizing modern cloud data platforms. The ideal candidate will expertly leverage Snowflake, Databricks, DBT, Airflow, Python, Py Spark, and have hands-on exposure to advanced AI / ML and Generative AI (Gen AI) solutions in real-world enterprise environments. You will partner with business and tech leaders to deliver scalable, innovative data products, architectures, and analytics capabilities.

About the Role

We are looking for a Data Solutions Architect who will be responsible for architecting and implementing scalable data platforms and solutions.

Responsibilities

Architect and implement scalable data platforms, pipelines, and solutions using Snowflake, Databricks, DBT, Airflow, Python, and Py Spark

Lead cloud data migration projects, designing robust, secure, and reusable analytics architectures

Develop and optimize ELT / ETL workflows for batch and real-time processing

Design dimensional models, data lakes, data marts, and advanced analytics infrastructures

Oversee and mentor data engineering teams in coding standards, CI / CD, and best practices

Integrate AI / ML models and Gen AI capabilities into data products and workflows (e.g., predictive analytics, intelligent automation)

Collaborate with business stakeholders to define requirements, translating needs into technical architectures

Manage platform cost optimization, data quality / governance, and performance tuning

Evaluate and recommend emerging tech, tools, and architectures to drive innovation

Qualifications

Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or related field

7+ years of professional experience in data architecture, engineering, or analytics roles

Advanced hands-on experience with Snowflake (data warehousing, modeling, optimization)

Deep expertise in Databricks (Spark, ML workflows, lakehouse architectures) and Py Spark

Proficient with DBT for data transformation and modeling

Expert in building robust workflows with Apache Airflow

Strong programming skills in Python (including data and ML libraries)

Proven track record implementing AI / ML solutions with at least basic exposure to Gen AI (LLMs, prompt engineering, AI API integration)

Cloud platform experience (Azure, AWS, or GCP)

Excellent problem-solving, communication, and stakeholder management skills

Required Skills

Experience with Terraform, CI / CD for data engineering

Familiarity with data governance, privacy, and security best practices

Prior experience in client-facing solution architect or enterprise delivery roles

Certifications in Snowflake, Databricks, Python, or cloud platforms

Published work or demonstrated portfolio of data / AI projects

Understanding of modern API integration and real-time analytics

Equal Opportunity Statement

We are committed to diversity and inclusivity.

```