Jobot Consulting
Lead Data Architect – Databricks Lakehouse | SAP ECC/S4 Data Integration
Jobot Consulting, Coppell, Texas, United States, 75019
Lead Data Architect – Databricks Lakehouse | SAP ECC/S4 Data Integration
6 days ago – Be among the first 25 applicants.
Base pay range: $125,000.00/yr – $170,000.00/yr
Job Details Title: Lead Data Architect – Databricks & SAP Integration Location: Hybrid – Coppell, TX (Preferred) Salary: $125,000 – $170,000 per year
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 such as 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, and 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.
Benefits
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
Apply Easy Apply now by clicking the "Easy Apply" button.
Jobot is an Equal Opportunity Employer. All qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age, disability, military status, genetic information, or any other basis protected by applicable law.
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Base pay range: $125,000.00/yr – $170,000.00/yr
Job Details Title: Lead Data Architect – Databricks & SAP Integration Location: Hybrid – Coppell, TX (Preferred) Salary: $125,000 – $170,000 per year
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 such as 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, and 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.
Benefits
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
Apply Easy Apply now by clicking the "Easy Apply" button.
Jobot is an Equal Opportunity Employer. All qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age, disability, military status, genetic information, or any other basis protected by applicable law.
#J-18808-Ljbffr