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Senior Platform Engineer (Databricks) || Remote || W2 Role

AKAASA Technologies

Remote • Yesterday

Easy Apply

Contract

Depends on Experience

Sr. Data Platform Engineer

Donato Technologies Inc

Remote • Yesterday

Easy Apply

Contract

55 - 60

Cloud Engineer, Senior Staff Platform Engineer / Subject Matter Expert (SME)

Maxonic, Inc.

Remote • 24d ago

Easy Apply

Contract

Depends on Experience

Sr. Platform Engineer

Istari Digital

Remote • Today

Full-time

USD 145,000.00 - 190,000.00 per year

Senior Platform Engineer

Fieldwire

Remote • Today

Full-time

USD 170,000.00 - 195,000.00 per year

Senior Platform Engineer

Collectors Universe, Inc.

Remote or Jersey City, New Jersey • Today

Full-time

USD 140,000.00 - 200,000.00 per year

Senior Platform Engineer - NBA

Humana Inc

Remote • 12d ago

Full-time

USD 106,900.00 - 147,000.00 per year

Senior Platform Engineer

EarnIn

Montana • Today

Full-time

USD 228,000.00 - 279,000.00 per year

Senior Platform Engineer

EarnIn

Billings, Montana • Yesterday

Full-time

USD 228,000.00 - 279,000.00 per year

Senior Platform Engineer

Bestow, Inc

Remote • Today

Full-time

USD 145,000.00 - 170,500.00 per year

Sr. Platform Engineer (Data Platform)

Istari Digital

Remote • Today

Full-time

USD 145,000.00 - 190,000.00 per year

Sr. Platform Engineer (Integrations Platform)

Istari Digital

Remote • Today

Full-time

USD 145,000.00 - 190,000.00 per year

Senior Platform Engineer

Quantiphi Inc.

Remote • Today

Full-time

Senior Platform Engineer - Army (FedD169/FedD170)

Defense Unicorns

Remote • Today

Full-time

USD 148,750.00 - 201,250.00 per year

Sr. Platform Engineer - Jfrog Expert - Remote US

SitusAMC

Remote • Today

Full-time

USD 110,000.00 - 180,000.00 per year

Senior Platform Engineer (FedD144)

Defense Unicorns

Remote • Today

Full-time

Senior Platform Engineer, Product Facing Systems (Remote)

Abercrombie & Fitch Co.

Remote or Columbus, Ohio • Today

Full-time

USD 121,000.00 - 144,000.00 per year

Senior Platform Engineer (Cloud & AI Platform)- Remote within US

OEConnection

Remote • Today

Full-time

Senior Federal Platform Engineer

Keeper Security, Inc.

Remote • Today

Full-time

Senior Cloud Platform Engineer (Python / AWS)

Computer Enterprises, Inc.

Remote • 2d ago

Easy Apply

Contract

Depends on Experience

Senior AI Agent Platform Engineer - Orlando, FL, Columbia, SC, Atlanta, GA, Charlotte, NC, Tampa, FL, Raleigh, NC, Durham, NC.

TechniPros, LLC

Remote or Orlando, Florida • Yesterday

Easy Apply

Contract

Depends on Experience

Senior Data Platform Engineer

Gemini

Remote or New York, New York • Today

Full-time

USD 126,000.00 - 180,000.00 per year

Sr. Gateway/Platform Engineer

Constellation West

Remote or Washington, District of Columbia • Today

Full-time

Senior QRadar Platform Engineer

New Era Technology

Remote • 10d ago

Easy Apply

Full-time

80 - 125

SENIOR DATA PLATFORM ENGINEER

Algoleap Technologies Inc

Remote • 6d ago

Easy Apply

Contract, Third Party

80 - 85

Senior DevOps AI Platform Engineer

GXO Logistics

Remote or North Carolina • Today

Full-time

Senior AI Platform Engineer, Infrastructure Services

SentinelOne

Remote • Today

Full-time

USD 132,000.00 - 182,000.00 per year

Senior Databricks Platform Engineer

General Dynamics

Remote • Today

Full-time

USD 169,604.00 - 229,464.00 per year

Senior AWS DevOps / Platform Engineer

Navigant Consulting

Remote • Today

Full-time

USD 118,000.00 - 196,000.00 per year

Senior AI Cloud Platform Engineer

Allstate Insurance Company

Remote or Illinois • Today

Full-time

USD 85,000.00 - 145,075.00 per year

Job Details

Skills

API
Amazon Web Services
Auditing
ELT
Extract, Transform, Load
Software Architecture
Databricks
Google Cloud Platform
Data Warehouse
Data Lake
Data Integration

Summary

Responsibilities:

Design, implement, configure, and maintain enterprise data platforms and supporting cloud infrastructure.
Support data warehouse, data lake, lakehouse, operational data, integration, and analytical workloads.
Implement secure connectivity between the enterprise data platform and on-premises systems, cloud environments, vendor platforms, SaaS applications, relational databases, APIs, and file-transfer services.
Build and maintain platform integrations across databases, object storage, APIs, SFTP, enterprise applications, and third-party data sources.
Work with infrastructure and networking teams to implement secure cloud and hybrid connectivity patterns.
Configure and support platform identity, access controls, service accounts, roles, groups, secrets, authentication, encryption, and least-privilege security standards.
Develop and maintain automated infrastructure and platform deployment processes using infrastructure-as-code and CI/CD technologies.
Support Git-based source control, release management, environment promotion, and deployment standards for data-platform components.
Partner with data engineers to implement scalable ingestion and transformation patterns for batch, near-real-time, streaming, API, database, and file-based workloads.
Support orchestration and scheduling of data pipelines, platform jobs, integrations, and dependent services.
Configure and manage platform compute, storage, workload isolation, scaling, scheduling, concurrency, resource governance, and cost controls.
Monitor platform availability, infrastructure health, job execution, query performance, compute utilization, storage consumption, connectivity, and integration health.
Implement logging, monitoring, alerting, auditing, operational dashboards, and support procedures.
Troubleshoot data-platform, infrastructure, network, security, performance, and integration issues.
Support platform upgrades, configuration changes, infrastructure changes, release deployments, and production support.
Assist with migration of existing warehouse, ETL, database, API, and file-processing workloads into modern data-platform architectures.
Evaluate workload requirements and help determine appropriate placement across data warehouse, lakehouse, relational database, cloud service, integration, and application platforms.
Develop reusable engineering patterns, deployment templates, technical standards, and operational documentation.
Support proof-of-concept environments, platform evaluations, workload testing, performance testing, and migration assessments.
Collaborate with security, risk, infrastructure, architecture, application, and data teams to incorporate security, availability, resiliency, and compliance requirements into platform implementations.
Work with internal teams and external vendors to resolve platform, connectivity, integration, and performance issues.
Maintain technical documentation covering platform architecture, environments, integrations, network connectivity, security controls, operational procedures, deployment processes, and dependencies.
Identify opportunities for platform simplification, automation, modernization, standardization, reuse, and cost optimization.
Share technical knowledge and provide guidance to engineers and project teams supporting the enterprise data platform.

Qualifications:

Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field; applicable years of experience may be substituted for a bachelor’s degree.
Minimum of five or more years of progressive experience in data engineering, cloud engineering, platform engineering, DevOps, database engineering, or related technology roles.
Experience supporting enterprise-scale data platforms, data warehouses, data lakes, or cloud data environments.
Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
Strong understanding of cloud infrastructure, networking, identity and access management, encryption, secrets management, and secure data-platform design.
Experience working with relational databases, object storage, APIs, file-based integrations, and enterprise data sources.
Experience with ETL/ELT, pipeline orchestration, data ingestion, transformation, and workload scheduling.
Experience with source control, CI/CD, and automated deployment processes.
Experience with infrastructure-as-code technologies such as Terraform, CloudFormation, or equivalent tools.
Strong SQL skills and working knowledge of data warehouse and analytical database concepts.
Understanding of modern data architecture concepts including data lakes, warehouses, lakehouses, medallion architectures, batch processing, streaming, CDC, metadata, and governance.
Experience troubleshooting complex technical issues across cloud infrastructure, databases, networking, and data integrations.
Ability to communicate technical concepts clearly and professionally to technical and non-technical stakeholders.
Ability to work effectively across data, infrastructure, security, application, architecture, vendor, and business teams.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91140717
Position Id: 9088949
Posted 1 day ago

Fitment

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Contact the job poster

Ashish Joshi

Recruiter @ AKAASA Technologies

View Profile

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USD 141,800.00 - 173,300.00 per year

Job Details

Skills

API
Amazon Web Services
Auditing
ELT
Extract, Transform, Load
Software Architecture
Databricks
Google Cloud Platform
Data Warehouse
Data Lake
Data Integration

Summary

Responsibilities:

Design, implement, configure, and maintain enterprise data platforms and supporting cloud infrastructure.
Support data warehouse, data lake, lakehouse, operational data, integration, and analytical workloads.
Implement secure connectivity between the enterprise data platform and on-premises systems, cloud environments, vendor platforms, SaaS applications, relational databases, APIs, and file-transfer services.
Build and maintain platform integrations across databases, object storage, APIs, SFTP, enterprise applications, and third-party data sources.
Work with infrastructure and networking teams to implement secure cloud and hybrid connectivity patterns.
Configure and support platform identity, access controls, service accounts, roles, groups, secrets, authentication, encryption, and least-privilege security standards.
Develop and maintain automated infrastructure and platform deployment processes using infrastructure-as-code and CI/CD technologies.
Support Git-based source control, release management, environment promotion, and deployment standards for data-platform components.
Partner with data engineers to implement scalable ingestion and transformation patterns for batch, near-real-time, streaming, API, database, and file-based workloads.
Support orchestration and scheduling of data pipelines, platform jobs, integrations, and dependent services.
Configure and manage platform compute, storage, workload isolation, scaling, scheduling, concurrency, resource governance, and cost controls.
Monitor platform availability, infrastructure health, job execution, query performance, compute utilization, storage consumption, connectivity, and integration health.
Implement logging, monitoring, alerting, auditing, operational dashboards, and support procedures.
Troubleshoot data-platform, infrastructure, network, security, performance, and integration issues.
Support platform upgrades, configuration changes, infrastructure changes, release deployments, and production support.
Assist with migration of existing warehouse, ETL, database, API, and file-processing workloads into modern data-platform architectures.
Evaluate workload requirements and help determine appropriate placement across data warehouse, lakehouse, relational database, cloud service, integration, and application platforms.
Develop reusable engineering patterns, deployment templates, technical standards, and operational documentation.
Support proof-of-concept environments, platform evaluations, workload testing, performance testing, and migration assessments.
Collaborate with security, risk, infrastructure, architecture, application, and data teams to incorporate security, availability, resiliency, and compliance requirements into platform implementations.
Work with internal teams and external vendors to resolve platform, connectivity, integration, and performance issues.
Maintain technical documentation covering platform architecture, environments, integrations, network connectivity, security controls, operational procedures, deployment processes, and dependencies.
Identify opportunities for platform simplification, automation, modernization, standardization, reuse, and cost optimization.
Share technical knowledge and provide guidance to engineers and project teams supporting the enterprise data platform.

Qualifications:

Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field; applicable years of experience may be substituted for a bachelor’s degree.
Minimum of five or more years of progressive experience in data engineering, cloud engineering, platform engineering, DevOps, database engineering, or related technology roles.
Experience supporting enterprise-scale data platforms, data warehouses, data lakes, or cloud data environments.
Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
Strong understanding of cloud infrastructure, networking, identity and access management, encryption, secrets management, and secure data-platform design.
Experience working with relational databases, object storage, APIs, file-based integrations, and enterprise data sources.
Experience with ETL/ELT, pipeline orchestration, data ingestion, transformation, and workload scheduling.
Experience with source control, CI/CD, and automated deployment processes.
Experience with infrastructure-as-code technologies such as Terraform, CloudFormation, or equivalent tools.
Strong SQL skills and working knowledge of data warehouse and analytical database concepts.
Understanding of modern data architecture concepts including data lakes, warehouses, lakehouses, medallion architectures, batch processing, streaming, CDC, metadata, and governance.
Experience troubleshooting complex technical issues across cloud infrastructure, databases, networking, and data integrations.
Ability to communicate technical concepts clearly and professionally to technical and non-technical stakeholders.
Ability to work effectively across data, infrastructure, security, application, architecture, vendor, and business teams.

Dice Id: 91140717
Position Id: 9088949
Posted 1 day ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Contact the job poster

Ashish Joshi

Recruiter @ AKAASA Technologies

View Profile

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

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