Lead Data Architect – Databricks Lakehouse | SAP ECC/S4 Data Integration
- Consulting
- $125,000 - $170,000
- Coppell, TX
Hybrid role - Looking for a Lead Data Architect to shape enterprise data strategy, driving SAP-to-Databricks Lakehouse architecture
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
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.
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.
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Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy