Job description: Solution Architect - Data
Bricks - Data Engineering

Key
Responsibilities

- Design & implement a modern Azure data platform leveraging lakehouse principles
(Bronze/Silver/Gold), Azure Databricks, Azure Synapse Analytics,
and Power BI

- Lead lakehouse/medallion architecture end‑to‑end: ingestion, transformation,
governance, and consumption with Delta Lake patterns and performance
optimization

- Own large -scale migrations from SAP ECC to Synapse; define extraction strategies, data modeling,
reconciliation, and cutover plans.

- Evaluate and pilot Microsoft Fabric capabilities, including Direct Lake for Power BI;
document findings and guide adoption.

- Architect event -driven integrations for retail/price services using Azure Service
Bus, Logic Apps, and Azure Functions. (based on your
stated requirements)

- Lead legacy -to -D365 application/data migration using
ADF, coordinating a team of ~20
engineers; establish delivery standards and review gates.

- Automate CI/CD with Azure DevOps across ADF, Databricks, Synapse, and Power BI;
enforce branching, code review, and environment promotion

- Harden the platform with Azure security controls—RBAC, Azure AD integration, encryption at
rest/in transit, and secrets management

- Drive SSRS → Power BI modernization (including Power BI Paginated Reports) at




enterprise scale; rationalize report estate and optimize cost/performance.

- Collaborate with network teams to align data workloads with hub‑and‑spoke topology, VNet design, and ExpressRoute connectivity.

- Support pre‑sales and solutioning for multi‑cloud data platforms, Data Mesh strategies,
and GenAI use cases; develop POVs and solution material.

Required
Experience & Skills

- Proven track record building Azure lakehouse platforms
with Databricks, Synapse, ADLS Gen2, and Power BI

- Hands‑on with ADF, event streaming/integration (Event
Hub/Service Bus), and orchestration (Logic Apps,
Functions

- Demonstrated success in SAP ECC to Azure migration
programs (data extraction, modeling, delta handling, reconciliation).

- Enterprise CI/CD using Azure DevOps (pipelines,
artifacts, automated deployments) and production readiness practices.

- Security -by -design mindset: RBAC, Azure AD,
encryption standards; familiarity with Azure governance (policies,
monitoring

- Experience modernizing reporting estates from SSRS to Power BI, including paginated workloads

- Understanding of hub‑and‑spoke network architecture, VNets, and ExpressRoute implications for data platform
connectivity.

- Solid stakeholder engagement; ability to guide pre‑sales,
author solution artifacts, and present architectures to business and
technical leaders.