Develop database designs and architecture in Azure, secure data migrations, and conduct data profiling while collaborating with teams on technical designs.
- Work in an Azure data warehouse environment, which includes developing database designs and architecture, data modeling and metadata repository creation
- Work with Architects, Technical Leads and Business Teams and contributes to the development of technical designs
- Secure data migrations & transformations to/from clients, customers, and vendors
- Provides technical database consultation on application development, global infrastructure, and other database administration efforts related to specific DBMS
- Conduct data profiling, cataloging, and mapping for technical design and construction of technical data flows
- Migrate current ETL and SSIS packages to Synapse
Requirements
- 2-3+ Years of proven experience performing large data migration and transformation efforts
- Strong hands-on experience with Microsoft Azure Data & Analytics including Azure Synapse, Azure Data Factory, & Azure Data Lake Storage
- Experience in writing complex SQL queries and creating data models
- Experience or exposure to TSQL, SQL server, PL/SQL
- Experience or exposure to Informatica PowerCenter, Star Schema, Snowflake Schema
- Database performance tuning
- Data warehouse and data mart experience
- Strong knowledge of various data structures and the ability to extract data from various data sources (such as Cognos, Informatica, Hyperion, etc.)
Benefits
- Education Assistance/Student Loan Repayment - up to $2400 annually
- Remote work allowance
- Internet reimbursement
- Bench pay
- Profit share
- Healthcare reimbursement
- 401k - 4% match
- Short-Term disability
- Long-Term disability
- Life Insurance
Similar Jobs
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Design and operate scalable batch and streaming data platforms supporting machine learning and generative AI. Build pipelines for structured, unstructured, OCR, document, and image data; develop RAG, semantic search, and LLM-powered solutions; and establish data quality, observability, governance, orchestration, and deployment practices. Partner with stakeholders, lead platform scalability and cost optimization, mentor engineers, and translate ambiguous needs into production-ready technical roadmaps while securely handling sensitive data.
Top Skills:
AirflowAmazon KinesisSparkAWSAzureAzure Event HubsChart.JsDatabricksDeequDelta LakeDockerGithub ActionsGCPGreat ExpectationsJavaKafkaKubernetesLlmsMlopsPlotlyPysparkPythonRagScalaSeabornSnowflakeSQLTerraform
Artificial Intelligence • Information Technology • Professional Services • Software • Analytics • Generative AI • Big Data Analytics
Configure and maintain Adobe Experience Platform and Real-Time CDP data pipelines, XDM schemas, datasets, identity resolution, Profile enablement, segmentation readiness, and destination activation. Validate data quality, troubleshoot ingestion and identity issues, manage sandboxes, and implement privacy, consent, governance, and access controls. Partner with architects, data engineers, consultants, analysts, data scientists, and marketing teams to support reporting, personalization, and machine learning readiness.
Top Skills:
Adobe AnalyticsAdobe Experience PlatformAdobe I/O RuntimeAdobe Journey OptimizerAdobe Real-Time CdpAdobe Source ConnectorsAdobe TargetAPIsAWSAzureBatch IngestionBigQueryCcpaData PrepEltETLGCPGdprJavaScriptPythonQuery ServiceRedshiftSalesforce CdpSegmentSnowflakeSQLStreaming IngestionWeb SdkXdm
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Lead cloud data modernization by designing and implementing Azure/Snowflake/Databricks data platforms, building scalable ETL/ELT pipelines, ensuring data quality, security and governance, implementing CI/CD, mentoring engineers, and supporting healthcare data solutions and compliance.
Top Skills:
AirflowAzureAzure Data Factory (Adf)Azure Data Lake Storage Gen2 (Adls Gen2)Change Data Capture (Cdc)CptDatabricksDatabricks GenieEtl/EltFacetsFhirGitGithub ActionsGithub CopilotHcpcsHl7Icd-10LlmsLoincPrompt EngineeringPysparkPythonRag PipelinesSnowflakeSnowflake CortexSparkSQL ServerSsisVector StoresVisioX12 Edi (837/835/834)
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

