Job Title: Senior Data Engineer
Mode: Remote
Duration: 6 Months
 
Job Summary: Architect role in a global enterprise focusing on design and implementation of scalable data platforms using AWS, Databricks and Palantir Foundry in a hybrid work model for day shift with no travel requirement, ensuring secure, reliable and cost efficient solutions that align with business outcomes and social impact objectives.
 
Experience: 6 to 10 Yrs
 
Responsibilities: -Design robust data architectures on AWS that support analytics, reporting and machine learning workloads while ensuring scalability, performance and security compliance -Develop end to end data processing solutions using Databricks that optimize data ingestion, transformation and aggregation for diverse business domains -Coordinate integration of Palantir Foundry platforms with existing enterprise systems to enable unified data views and reusable analytical assets -Implement data modelling practices that standardize reference data, master data and domain specific schemas to support consistent decision making across teams -Optimize cloud resource usage on AWS by refining storage patterns, compute configurations and scheduling strategies to balance cost and performance -Create reusable templates and patterns for data pipelines using Databricks notebooks and jobs to accelerate project delivery and promote engineering standards -Establish monitoring practices and observability dashboards for data pipelines and platforms so that data quality, latency and availability expectations are continuously met -Guide application and data teams in adopting architectural principles such as modular design, resilience and security by design to reduce operational risks -Collaborate with stakeholder groups to translate business requirements into technical blueprints that clearly define data flows, service responsibilities and integration points -Document architecture decisions, diagrams and data lineage in an accessible form so that engineering and governance teams can maintain and evolve the platforms effectively -Review code, configurations and infrastructure definitions for AWS, Databricks and Palantir Foundry implementations to ensure compliance with enterprise standards -Align architectural roadmaps with company sustainability and social impact goals by supporting data products that improve transparency, efficiency and ethical insights -Participate in hybrid collaboration rituals using digital tools and on site sessions to maintain effective communication, knowledge sharing and continuous improvement.
 
Qualifications: -Possess professional experience of six to ten years working in data engineering or data architecture roles with emphasis on large scale cloud environments -Demonstrate strong practical expertise in core AWS services related to compute, storage, networking and security used for modern data platforms -Exhibit hands on proficiency with Databricks including cluster configuration, notebook development, job orchestration and performance tuning for batch and streaming workloads -Show proven experience implementing data solutions with Palantir Foundry such as data onboarding, ontology design and operational analytic workflows -Apply solid understanding of data warehousing, lakehouse patterns, data governance and metadata management to design consistent enterprise data ecosystems -Use programming skills in languages such as Python and SQL to build, test and troubleshoot complex data transformations and integrations across platforms -Display familiarity with modern DevOps and data operations practices including version control, continuous integration and automated testing for data pipelines
Years of Experience: 10.00 Years of Experience 
 
At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws.This position's pay range is $71.42/hr - $75.00/hr.