Role Overview
Mphasis is hiring a Senior Data Engineer with GCP. This is a full-time role in New York, New York. Part of Mphasis's Devops hiring. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job Description
Role description
Role : Senior Data Engineer with GCP
Location : Charlotte, NC
Duration : Full time
Key Responsibilities
Architect and own scalable, secure, cloud-native data platforms on Google Cloud Platform Design, build, and optimize batch and real-time data pipelines using BigQuery, Dataflow, Pub/Sub, and Dataproc Lead BigQuery performance tuning and cost optimization (partitioning, clustering, query efficiency)
Orchestrate workflows using Cloud Composer (Apache Airflow)
Enable Al/ML and GenAl integration via Vertex Al and BigQuery ML
Enforce data governance, security, reliability, and FinOps best practices
Mentor engineers, conduct design/code reviews, and set enterprise data engineering standards
• Collaborate with product, analytics, and data science teams to deliver business-critical insights
Key Skill Sets
• GCP Data Services: BigQuery, Dataflow (Apache Beam), Pub/Sub, Cloud Storage, Cloud Composer, Dataproc
• Programming & SQL: Advanced SQL, Python (Java/Scala a plus)
• Data Engineering: ETL/ELT, streaming & batch processing, data modeling, distributed systems
• Modern Architectures: Lakehouse, Apache Iceberg, Data Mesh concepts
• Al/ML Enablement: Vertex Al, BigQuery ML, GenAl-ready pipelines DevOps & laC: Terraform, CI/CD, DataOps practices
Leadership: Architecture ownership, mentoring, stakeholder communication, problem solving
• Certification: Google Cloud Professional Data Engineer (strongly preferred / often mandatory)
In addition to big query, storage bucket, following are necessary skills - data flow, composer, cloud scheduler, Pubsub and Kafka, Apigee gateway and API, Dataplex, basic knowledge of network connectivity (knowledge on data catalog, DLP, BQDTS, STS and other data transfer methodologies). Reporting background (powerbi) and ICEBERG are MUST. Data virtualization (Trenio or equivalent), Looker and GCP vertex will be a plus.
Deputation Location : US~New York~New York
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Frequently Asked Questions
How do I apply for the Senior Data Engineer with GCP position at Mphasis?
Use the Apply button above to submit your application directly to Mphasis. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Senior Data Engineer with GCP position at Mphasis located?
This position is based in New York, New York. Mphasis has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Senior Data Engineer with GCP at Mphasis earn?
Mphasis has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Senior Data Engineer with GCP role at Mphasis posted?
This role was posted on March 23, 2026 (76 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
How much experience does the Senior Data Engineer with GCP role at Mphasis require?
This is a senior-level position. Most senior roles call for 5+ years of directly relevant experience. Mphasis lists their specific requirements in the description below, so review the must-have qualifications closely before applying.
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