Remote database management and support
Hires remotely in
Remote Work Policy
Remote only
Company Location
Visa Sponsorship
Not Available
RelocationAllowed
Skills
Python
Git
Encryption
Governance
Security
T-SQL
Github
Automated Testing
REST APIs
Azure
Telemetry
Conversion
indexing
Spark SQL
Terraform
warehouse
Reconciliation
CDC
Dimensional Modeling
Pyspark
Cutover
Power BI
Infrastructure as code
logging
Chunking
Alerting
CI/CD
Azure DevOps
Observability
DataOps
Delta Lake
Data Factory
Data Vault 2.0
Bicep
Microsoft Fabric
Watermarking
Embeddings
OneLake
Lakehouse
Spark Notebooks
Ingestion
Dataflows Gen2
Secure Connectivity
Least-Privilege Access
SLA Monitoring
Real-Time Intelligence
Spark Tuning
Incremental Loading
AI/ML Data Preparation
Fabric Deployment Pipelines
SQL Server Migrations
Data-Quality Testing
Medallion/lakehouse Patterns
Idempotent Reprocessing
MERGE/upsert
RAG Workloads
Late-Arriving-Data
Bronze, Silver and Gold Delta Lake Layers
Purview Catalog/lineage
Sensitivity Controls
SSIS Migrations
SSAS Migrations
Legacy Warehouses Migrations
Synapse Migrations
About the job
Job Description
- 8+ years in data engineering/data warehousing; 3+ years delivering Azure solutions and production
- Microsoft Fabric experience
- Advanced T-SQL, Spark SQL, Python/PySpark; working knowledge of KQL and DAX
- Deep experience with Delta Lake, Spark tuning, medallion/lakehouse patterns, CDC and incremental loading
- Strong dimensional modeling and working knowledge of Data Vault 2.0
- Practical CI/CD, Git, automated testing, infrastructure as code, DataOps, governance and security experience
- Professional-services/client-facing delivery experience
- Authorization to work in the US and ability to travel up to 15%
- Preferred: DP-700, DP-600, DP-203; streaming/event-driven, RAG/GenAI, Fabric IQ/data agents, and industry experience
- Design, build and maintain production-grade batch, incremental, real-time and near-real-time data pipelines across Microsoft Fabric and Azure
- Implement CDC, watermarking, merge/upsert, late-arriving-data and idempotent reprocessing patterns
- Develop PySpark, Spark SQL and T-SQL transformations across bronze, silver and gold Delta Lake layers
- Build Fabric solutions using OneLake, Lakehouse, Warehouse, Data Factory, Dataflows Gen2, Spark notebooks, Real-Time Intelligence and Power BI
- Implement dimensional and Data Vault models, data-quality testing, reconciliation, observability, logging, alerting and SLA monitoring
- Establish Git-based CI/CD and automated deployment using Azure DevOps or GitHub, Fabric deployment pipelines, REST APIs, Bicep and Terraform
- Apply Purview catalog/lineage, least-privilege access, sensitivity controls, encryption and secure connectivity
- Support migrations from SQL Server, SSIS, SSAS, legacy warehouses and Synapse to Fabric/Azure, including conversion, reconciliation and cutover
- Prepare governed data for AI/ML and RAG workloads, including ingestion, chunking, embeddings, indexing and telemetry
- Lead engineering workstreams, estimates, risk management, client communication, mentoring, reusable accelerators and operational handover
About Us
Datavail is a leading provider of data management, application development, analytics, and cloud services, with more than 1,000 professionals helping clients build and manage applications and data via a world-class tech-enabled delivery platform and software solutions across all leading technologies. For more than 17 years, Datavail has worked with thousands of companies spanning different industries and sizes, and is an AWS Advanced Tier Consulting Partner, a Microsoft Solutions Partner for Data & AI and Digital & App Innovation (Azure), an Oracle Partner, and a MySQL Partner.
