Open to opportunities

Malik Tariq

@maliktariq

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Principal Data Engineer and Data Architect focused on cloud-native platforms.

United States

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What I'm looking for

I seek senior roles building cloud-native, enterprise-scale data platforms where I can lead architecture, mentor teams, and drive data governance, automation, and AI/ML enablement.

I am a Principal Data Engineer and Data Architect with 10+ years designing and modernizing cloud-native data ecosystems across AWS, Azure, and GCP. I specialize in Data Lake, Lakehouse, and Data Mesh architectures, leading datamodernization, governance, and engineering efforts using Databricks, Snowflake, Spark, Kafka, and Airflow to deliver scalable, secure, AI-ready platforms.

I drive enterprise data strategy and mentor high-performing teams to build end-to-end pipelines and production ML/AI datasets while ensuring compliance (GDPR, HIPAA, SOC2), performance, and cost optimization. I collaborate with business and technology leaders to align architecture with strategic goals and champion a data-driven culture through strong governance, automation, and operational excellence.

Experience

Work history, roles, and key accomplishments

Current

Data Architect

Current

Unknown Employer

Oct 2022 - Present (3 years)

Architected and led enterprise-scale cloud-native data ecosystems (Data Lake, Lakehouse, Data Mesh) across AWS, Azure, and GCP, modernizing legacy platforms and establishing governance, lineage, and security frameworks to enable analytics and AI at scale.

Databricks Snowflake Apache Spark Kafka Airflow Data Governance Cloud Architecture Data Lake

Principal Data Engineer

Unknown Employer

Aug 2020 - Sep 2022 (2 years 1 month)

Architected and delivered enterprise-scale data ecosystems and production pipelines (batch and real-time) using Spark, Databricks, Kafka, and Airflow, driving DataOps/MLOps adoption and platform modernization to improve performance and compliance.

Spark Databricks Kafka Airflow DataOps MLOps Cloud Migration

Senior BigData Engineer

Unknown Employer

Mar 2017 - Jul 2020 (3 years 4 months)

Designed and built scalable, secure big data platforms processing terabytes to petabytes using Spark, Kafka, and lakehouse technologies, implemented governance and automated infrastructure deployments to improve reliability and cost efficiency.

Apache Spark Kafka Delta Lake Airflow Terraform CI CD Data Governance Performance Tuning

Data Engineer

Unknown Employer

Jan 2015 - Feb 2017 (2 years 1 month)

Built and maintained scalable ingestion and transformation pipelines with Spark, PySpark, Airflow and Databricks, ensuring data quality, lineage, and compliance while enabling analytics and ML-ready datasets.

Spark Pyspark Airflow Databricks Snowflake Data Quality Cloud Platforms

Education

Degrees, certifications, and relevant coursework

Unknown

Bachelor of Science, Computer Science

Bachelor of Science in Computer Science degree completed; focused on foundational computer science principles applicable to data engineering and architecture roles.