10+ years in data engineering or related enterprise data roles
Hands-on experience with Azure data solutions in production environments
Expertise in Azure Synapse, Azure Data Factory, and Databricks
Experience with ingestion pipelines and cloud-based data transformation
Strong understanding of data governance and compliance in regulated environments
Ability to manage multiple priorities in agile settings
Azure certifications are valued, especially in cybersecurity contexts
Responsibilities
Design and build secure Azure-based data pipelines for a cybersecurity data lakehouse
Develop ingestion frameworks for insider risk-related data
Partner with stakeholders to translate data requirements into technical solutions
Standardize and govern data flows for improved visibility and control
Serve as a technical liaison across teams to align on dependencies and timelines
Provide updates to sprint plans and ensure alignment with agile processes
Support data quality, security, and operational reliability across the Azure platform
Benefits
Hybrid work environment
Long-term engagement on a significant cybersecurity initiative
Exposure to enterprise-scale Azure data architecture
Opportunity to work with cross-functional teams
Hands-on development in a fast-paced setting
Full Job Description
Job Description What s In Store For You:
Engagement: W2 only (no C2C/1099)
This opportunity offers the chance to work on a long-term cybersecurity data initiative in a hybrid setting, partnering with teams responsible for insider risk, data operations, and security engineering. The role provides exposure to enterprise-scale Azure data architecture, modern lakehouse design, and secure ingestion frameworks supporting sensitive risk and governance programs. It is well suited for a senior engineer who enjoys blending hands-on development with cross-functional technical partnership and agile delivery ownership.
How You Will Make An Impact:
Design and build secure, scalable Azure-based data pipelines supporting a centralized cybersecurity data lakehouse
Develop ingestion frameworks for data tied to insider risk programs, including DSPM, DLP, and related security data domains
Partner with data owners, insider risk stakeholders, and security engineering teams to translate data requirements into technical solutions
Help standardize and govern data flows that improve visibility, access, and operational control across the security ecosystem
Serve as a technical liaison across multiple teams, driving alignment on dependencies, timelines, and delivery expectations
Provide routine updates to sprint plans and ensure work progresses in line with internal agile and SDLC processes
Support data quality, security, compliance, and operational reliability across the Azure data platform
Contribute hands-on engineering expertise across Azure Synapse, Data Factory, Databricks, and lakehouse-oriented data solutions
Requirements
Do you bring proven success in Azure data engineering for secure enterprise platforms?
10+ years of experience in data engineering, data platform development, or related enterprise data roles
Strong hands-on experience building Azure data solutions in complex production environments
Proven expertise with Azure Synapse, Azure Data Factory, and Databricks
Experience designing and maintaining ingestion pipelines, data lakes, and cloud-based data transformation workflows
Strong understanding of data governance, data security, and compliance considerations in regulated environments
Experience partnering with cross-functional stakeholders, including engineering teams, business data owners, and security organizations
Ability to manage multiple priorities, follow through on technical dependencies, and communicate progress in agile sprint environments
Strong problem-solving skills, ownership mentality, and ability to operate effectively in a fast-paced enterprise setting
Azure certifications are valued
Experience supporting cybersecurity, insider risk, DLP, DSPM, or security analytics programs is strongly preferred
