_{11th September, 2025}

For more than three decades, Strategic Data Systems (SDS) has been a software consultancy firm specializing in strategy, technology, and business transformation for Fortune 100 companies, mid-sized firms, and startups. At SDS, we empower our development teams to address our clients' critical business challenges by leveraging cutting edge technologies. If you seek a workplace where your contributions are truly appreciated, then SDS is the company for you. Join us today to work alongside fellow development specialists and become a crucial part of our dynamic and cohesive community.
 

• • Job Title: Senior Data Engineer – Model Behavior (Azure, Databricks, Synapse)
    Location: Cincinnati, OH – Onsite
    Top Skills
    • Azure, Databricks, Synapse, ELT/ETL, Spark
    What You’ll Do: We are seeking a hands-on Senior Data Engineer to join our Data & Analytics team at a leading National Grocery Chain. In this role, you will be responsible for building and scaling the behavioral and Ecommerce data platform, enabling trusted analytics and delivering AI-ready data across the enterprise.
    You will design and implement scalable data pipelines, model complex behavioral datasets, and deliver high-quality data products that fuel advanced analytics, personalization, and machine learning. This is a delivery-focused role requiring deep expertise in Azure, Databricks, and Synapse along with the ability to manage enterprise-scale data engineering solutions.
    Key Responsibilities
    • Architect, build, and optimize robust ELT/ETL pipelines in Databricks, Spark, and Synapse.
    • Model large-scale, complex event datasets (digital behavior, Ecommerce, marketing) to support analytics, ML, and decision-making.
    • Implement data governance and discoverability using Unity Catalog and Alation, ensuring compliance, quality, and lineage.
    • Reconcile pipelines against trusted datasets (Adobe Analytics, Adobe CJA) to ensure accuracy.
    • Partner with data architects, analysts, scientists, and marketing teams to deliver reusable and trusted datasets.
    • Enhance ingestion, orchestration, and curation through Delta Lake optimizations, Databricks Workflows, and Synapse integration.
    • Develop and optimize semantic models and marts for BI/AI dashboards in Power BI.
    • Actively contribute in agile delivery processes (sprint planning, backlog refinement, documentation).
    • Maintain comprehensive documentation for long-term transparency and maintainability.
    Required Qualifications
    • 5+ years in data engineering with proven delivery of cloud-based data solutions.
    • Strong expertise in Databricks, Azure Synapse, Spark, and modern data architectures (Lakehouse, ELT/ETL, streaming).
    • Advanced SQL optimization and data modeling experience.
    • Hands-on use of Unity Catalog and metadata governance tools (e.g., Alation).
    • Knowledge of behavioral analytics tools (Adobe Analytics, CJA).
    • Microsoft Azure Data Engineer Associate and Databricks Data Engineer Professional certifications preferred.
    • Excellent collaboration and communication skills with experience in agile teams.

 
SDS, Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state, and local laws.
 

• Competitive base salary
• Medical, dental, and vision insurance coverage
• Optional life and disability insurance provided
• 401(k) with a company match and optional profit sharing
• Paid vacation time
• Paid Bench time
• Training allowance offering
• You'll be eligible to earn referral bonuses!

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