07th October, 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 EngineerLocation: Cincinnati, OH (Blue Ash) — Onsite 4 days per week
Client: National Grocery Retailer
Position Overview We are seeking a highly skilled
Senior Data Engineer to join the client’s
Enterprise Data & Analytics team. This hands-on engineering role focuses on building and scaling the organization’s
behavioral and eCommerce data platform, enabling trusted, AI-ready data products across marketing, personalization, and analytics domains.
You will architect and deliver
robust, high-performance pipelines using
Azure Synapse, Databricks, and Spark, while modeling
large-scale event data for advanced analytics, BI enablement, and machine learning. The ideal candidate combines strong technical depth with a business-first mindset, ensuring that engineering decisions drive measurable impact.
Core Responsibilities - Design, develop, and optimize scalable ELT/ETL data pipelines leveraging Azure Synapse, Databricks, and PySpark.
- Build and manage data lakehouse architectures for high-volume eCommerce, marketing, and behavioral datasets.
- Model complex event-level data (clickstream, transactions, campaign interactions) to power dashboards, A/B testing, ML models, and marketing activation.
- Implement Delta Lake optimization and Databricks Workflows for performance and reliability.
- Partner with architects and business analysts to deliver reusable, high-quality data models for BI and self-service analytics.
- Ensure data lineage, governance, and compliance using Unity Catalog and tools like Alation.
- Collaborate with data scientists to productionize and operationalize datasets for ML and predictive analytics.
- Validate and reconcile behavioral data with Adobe Analytics and Customer Journey Analytics (CJA) to ensure accuracy.
- Maintain semantic models for Power BI dashboards, supporting self-service and advanced analytical insights.
- Actively participate in Agile delivery: sprint planning, backlog refinement, technical documentation, and code reviews.
Required Qualifications - 7+ years of experience in data engineering, data architecture, or similar roles.
- Expertise in Databricks, Azure Synapse, Delta Lake, and Spark-based data processing.
- Strong SQL proficiency for data transformation and performance tuning.
- Deep experience with modern data architectures (Lakehouse, ELT, streaming).
- Proven track record in handling behavioral/eCommerce datasets and analytics use cases.
- Hands-on experience with Unity Catalog and metadata governance tools (e.g., Alation).
- Experience with Adobe Analytics / CJA data validation preferred.
- Familiarity with Power BI, Python, and data orchestration tools (ADF, Airflow).
- Strong communication skills with the ability to bridge business needs and engineering solutions.
- Experience in Agile environments with proven leadership in technical delivery.
Preferred Certifications - Microsoft Certified: Azure Data Engineer Associate
- Databricks Certified: Data Engineer Professional
What You'll Get 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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