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

Job in Coppell, Dallas County, Texas, 75019, USA
Listing for: Jobot
Full Time position
Listed on 2026-02-10
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 125000 - 170000 USD Yearly USD 125000.00 170000.00 YEAR
Job Description & How to Apply Below

Overview

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

Job details:
This Jobot Consulting Job is hosted by:
Liz Valdez. Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume. Salary: $125,000 - $170,000 per year.

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

Responsibilities
  • Lead the design and governance of enterprise-scale data architecture across Azure Databricks and SAP ECC/S4

    HANA 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/S4

    HANA 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 "Easy Apply" button.

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