As a Data Platform Digital Solution Engineer (DSE), you will play a pivotal role in helping enterprises unlock the full potential of Microsoft’s cloud database and analytics stack across every stage of deployment. You will work directly with technical and business stakeholders to design secure, scalable, and resilient database and analytics architectures that support business-critical applications and Frontier AI transformation.
Responsibilities
Lead Databases & Analytics customer engagements.
Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments.
Drive technical workshop using live demos, co-create with customers whiteboarding & architecture, rapid prototyping, hands-on proofs of concept & pilots to resolve technical blockers.
Prove technical solutions, co-create or re-use existing architecture to influence solution design and enable customer commitment for deployments.
Maintain deep expertise in Analytics Portfolio: Microsoft Fabric including OneLake, Azure Databricks, and Azure Databases: SQL DB, Cosmos DB, PostgreSQL.
Develop and deliver scalable transformation frameworks across Hadoop platforms by building robust data pipelines, ingestion frameworks, and automation capabilities.
Responsibilities
Design, develop, and maintain scalable data pipelines within the Enterprise Data Lake platform using Cloudera CDP, Hadoop, Spark, Hive, Java, Python, and SQL.
Develop high-performance batch and near real-time data ingestion frameworks for onboarding enterprise source systems into the Data Lake.
Develop complex transformation logic using Spark, HiveQL, SQL, and Java-based processing frameworks.
Design and implement data ingestion patterns supporting structured, semi-structured, and unstructured datasets.
Build and maintain batch and near real-time data integration solutions.
As a Software Engineer at Applied Materials, you’ll dive deep into ground-breaking technologies—like machine learning and AI—to craft novel software solutions that solve our customers’ high-value problems.
Compensation
$179,500.00 - $246,500.00
Responsibilities
Architect and design complex, enterprise-scale Data Platform, Data Lake and Lakehouse solutions.
Provide end-to-end architecture and technical leadership across cloud data platforms, Lakehouse, Data Lake, data integration, batch and streaming processing, data storage, transformation, serving, analytics and downstream consumption.
Provide architecture leadership for ongoing Data Platform production support and operations.
Lead resolution of complex cross-platform production issues involving Databricks, Spark, cloud infrastructure, storage, streaming, data pipelines, networking, security, and data quality.
Lead technical Root Cause Analysis (RCA) for high-impact and recurring incidents.
A 24-month fixed-term contract to design, develop, and maintain data solutions on CPA’s Microsoft Fabric platform, delivering the fundraising data platform from ingestion to a dimensionally modelled data warehouse.
Responsibilities
Work with the Senior Manager, Enterprise Data to setup the data architecture and the Data Lake
Assemble large, complex data sets that meet functional / non-functional business requirements
Undertake development activities across the full end to end development cycle, from initial analysis to design, development, testing, implementation of data processing (ETL) packages, documentation, and post-delivery maintenance and support
Support planning and building the platform required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL/.Net and Azure/SaaS ‘big data’ technologies
Work with internal stakeholders to resolve data-related technical issues and support their data infrastructure needs
Requirements
Degree in Data Engineering
Degree in Computer Science
Degree in Information Technology / related discipline
Design, develop, and maintain enterprise reporting, dashboards, scorecards, and data visualization solutions using Power BI and related Microsoft technologies.
Responsibilities
Design, develop, and maintain interactive Power BI dashboards, reports, scorecards, and executive visualizations
Create intuitive executive and operational dashboards
Ensure consistency in reporting standards, branding, definitions, and calculations
Develop and maintain Power BI semantic models, datasets, dataflows, and complex DAX measures
Design and implement row-level security and workspace security models
Requirements
Bachelor's degree in Information Systems, Information Technology, Data Science, Computer Science, Business Analytics, Engineering, Mathematics, or a related discipline
Design, develop, and deliver AI-powered features and data pipelines for DocuSign’s Global Data Analytics team.
Compensation
Based on applicable legislation, the below details pay ranges in the following locations:
California: $146,400.00 - $235,375.00 base salary
This role is also eligible for the following:
Bonus: Sales personnel are eligible for variable incentive pay dependent on their achievement of pre-established sales goals. Non-Sales roles are eligible for a company bonus plan, which is calculated as a percentage of eligible wages and dependent on company performance.
Stock: This role is eligible to receive Restricted Stock Units (RSUs).
Responsibilities
Build and maintain scalable, efficient data pipelines and AI agent orchestrations
Develop and deploy autonomous agents using frameworks like CrewAI and LangChain
Implement Retrieval-Augmented Generation (RAG) systems and manage Vector Databases
Utilize Langgraph/CrewAI for complex stateful multi-agent orchestration
Implement robust Evaluations (e.g., Arize) to monitor and improve model performance and reliability
Transform marketing and media data into actionable insights that drive business decisions
Responsibilities
Support marketing analytics projects through data preparation, validation, and dashboard development
Assist with data lake updates and management by loading and refreshing data, maintaining tables, and performing data hygiene and quality assurance checks
Build and maintain reports and dashboards in Power BI, Sigma, or similar business intelligence tools
Analyze marketing performance across digital, broadcast, email, CRM, and web analytics channels
Write SQL queries to extract, join, validate, and analyze marketing data from multiple sources
Requirements
Bachelor's degree in Data Analytics, Marketing, Business Analytics, Statistics, Economics, or a related field
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