Lead Data Architect – Databricks Lakehouse | SAP ECC / S4 Data Integration

Hybrid! Lead the SAP-to-Databricks Lakehouse transformation!

This Jobot Consulting Job is hosted by : Liz Valdez

Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.

Salary : $125,000 - $170,000 per year

A bit about us :

We are a trusted leader in healthcare services and specialty distribution, helping hospitals, pharmacies, and health systems deliver critical therapies and medications safely and reliably. For more than 30 years, we’ve built a reputation for integrity, innovation, and excellence. Our team members thrive in a collaborative, mission-driven environment where their work makes a direct impact on patient care.

Why join us?

Shape a global enterprise data strategy from the ground up.

Collaborate with high-caliber data leaders driving innovation with Databricks and SAP.

Comprehensive Health Plans + EAP

401(k) + Profit Sharing

Tuition Reimbursement

HSA, FSA, and Dependent Care Accounts

Life, AD&D, and AFLAC Plans

Paid Vacation, Sick Leave, and Holidays

Job Details

Title : Lead Data Architect – Databricks & SAP Integration

Location : Hybrid – Coppell, TX area (Preferred)

Salary : $125K – $170K

We’re seeking a Lead Data Architect to drive the design, governance, and optimization of enterprise data architecture built around Databricks Lakehouse and SAP ERP systems. This is a hands-on leadership role, guiding senior data engineers and collaborating closely with business teams to architect high-performing, compliant, and future-ready data ecosystems.

Key Responsibilities

Lead the design and governance of enterprise-scale data architecture across Azure Databricks and SAP ECC / S4HANA systems.

Build and optimize Bronze, Silver, and Gold layers within the Databricks Lakehouse (Delta Lake, Unity Catalog, Delta Live Tables).

Model core SAP domains (Finance, Logistics, Materials, Supply Chain) and data tables (ACDOCA, BKPF, BSEG, MARA, LIPS) into scalable, high-performing data models.

Design conceptual, logical, and physical data models and semantic / canonical layers to power enterprise BI and self-service analytics.

Oversee ingestion and transformation pipelines (batch + streaming) using tools like Fivetran, Informatica, ADF, dbt, or PySpark.

Define and enforce data governance, lineage, security, and masking standards leveraging Unity Catalog and best-in-class compliance (HIPAA, GDPR, PHI / PII).

Collaborate with business, analytics, and data science teams to align architecture with AI / ML and predictive analytics initiatives.

Partner with IT leadership on cloud cost optimization, performance tuning, and architecture strategy across Azure / AWS / GCP.

Qualifications

7+ years of experience in Data Architecture or Advanced Data Engineering at enterprise scale.

Proven hands-on expertise with Databricks Lakehouse, Delta Lake, and Unity Catalog.

Strong experience with SAP ECC / S4HANA data models (ACDOCA, BKPF, BSEG, MARA, LIPS) and related integrations.

Deep knowledge of SQL, Python, PySpark, and cloud ETL tools (ADF, Informatica, Fivetran, dbt).

Proficiency in data modeling (conceptual, logical, physical), semantic / canonical layer design, and star / snowflake schemas.

Demonstrated leadership / mentorship of data engineering teams and collaboration with business stakeholders.

Experience in data governance, security, and lineage frameworks.

Cloud platform expertise (Azure preferred, AWS or GCP welcome).

Nice to Have :

Familiarity with SAP BW, CDS Views, or data mesh concepts.

Experience with Power BI, Tableau, or Looker.

Background in AI / ML or GenAI-enabled analytics.

Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.

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