Open to opportunities

Muhammad Farooq

@muhammadfarooq4

Message

Senior data engineer and cloud data platform architect driving scalable, secure analytics at scale.

United States

Message

What I'm looking for

I seek a senior/lead role building cloud-native data platforms with strong governance, CI/CD, mentorship, and measurable business impact.

I am a Senior Data Engineer and Cloud Data Platform Architect with 8+ years building cloud-native, high-performance data platforms that modernize legacy stacks and operationalize analytics. I design Databricks lakehouse architectures, implement Snowflake with Unity Catalog, optimize distributed processing, and drive measurable outcomes like improved data accuracy, reduced costs, and increased platform reliability.

I partner with product, analytics, compliance, and executive stakeholders to translate strategy into robust technical execution, establish engineering best practices, and mentor teams. I lead platform roadmapping, CI/CD and infrastructure automation, data governance and quality frameworks, and performance tuning to enable trusted, scalable analytics across the enterprise.

Experience

Work history, roles, and key accomplishments

Current

Staff Data Engineer

Current

DataHub

Jan 2022 - Present (3 years 11 months)

Led end-to-end architecture and delivery of enterprise cloud data platforms, implementing Databricks lakehouse and Snowflake with Unity Catalog to improve availability, governance, and pipeline performance.

Databricks Delta Lake Snowflake Unity Catalog AWS Spark Data Governance CI CD

Big Data Engineer

Preset

Sep 2019 - Dec 2021 (2 years 3 months)

Built and maintained scalable distributed data pipelines and dimensional models, migrated critical datasets to cloud platforms, and implemented validation and monitoring to reduce data defects and improve pipeline performance.

Spark Data Modeling Cloud Migration Data Validation SQL ETL Monitoring

Data Warehouse Engineer

Immuta

Oct 2017 - Aug 2019 (1 year 10 months)

Developed ETL pipelines for structured and semi-structured sources, automated ingestion and transformation processes, and performed data quality and performance improvements to support enterprise reporting.