Looking for Lead Data Engineer @ The Woodlands, TX
Peer Professional
Job Title: Lead Data Engineer
Location: The Woodlands, TX
Type: Direct Hire W2 / Corp-Corp
Primary Skills : Data Engineer, Azure, Wisdom.ai
Exp : Min 12 Years of experience
Share your resume to satti.p...@yash.com
Job Description:
Lead Data Engineer & Analyst who can design, build, and operationalize modern data platforms while enabling AI-driven analytics and business insights using Azure data services and Wisdom.ai. This role bridges data engineering (pipelines, modeling, architecture), analytics (insights, dashboards, semantic layers), and AI enablement (natural language querying, agentic workflows). You will play a critical role in turning raw data (payments, POS, customer, operational) into revenue-generating intelligence and decision support tools.
Key Responsibilities:
- Data Engineering & Platform Development : Oversee the design and build of scalable data pipelines using Azure Data Factory, Synapse Pipelines, and Fabric Dataflows. Over the develop and maintenance of data lakes (Azure Data Lake Storage Gen2) and data warehouses (Azure Synapse / Fabric Warehouse). Oversee the Implementation of batch and near real-time ingestion using Event Hub, APIs, and file drops. Ensure data quality, lineage, and observability.
- Data Modeling: Design business-friendly data models including star and snowflake schemas and domain-driven models (merchant, transaction, customer, device). Define metrics, KPIs, and standardized definitions such as authorization rate and interchange yield.
- Analytics & Business Insights: Enable self-service analytics for product, operations, risk, and finance teams. Perform deep-dive analyses on payment performance (authorization rates, declines, routing), customer behavior and segmentation, and revenue optimization opportunities.
- Wisdom.ai Enablement (AI + Natural Language Analytics): Integrate and configure Wisdom.ai with Azure data sources. Build semantic knowledge layers for natural language querying, including business context, definitions, relationships, and hierarchies. Enable “ask your data” capabilities for non-technical users and develop AI-driven insights and recommendations (agentic analytics).
- Data Governance & Compliance: Implement governance aligned with PCI, SOC2, and enterprise data policies. Define data ownership, access controls, and RBAC. Ensure secure handling of sensitive data (PII, payment data). Maintain metadata catalogs and documentation.
- Cross-Functional Collaboration: Partner with product managers (feature analytics, KPIs), engineering teams (data integration), and business stakeholders (requirements, insights). Translate business needs into data models, pipelines, and dashboards.
Peer Professional
Job Title: Lead Data Engineer
Location: The Woodlands, TX
Type: Direct Hire W2 / Corp-Corp
Primary Skills : Data Engineer, Azure, Wisdom.ai
Exp : Minimum 12 Years of exp reqs and Wisom.ai skill is mandatory
Share resume to satti.p...@yash.com