21st August, 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: Lead Senior Data Engineer
Location: On-Site – Cincinnati, OH
Industry: National Banking / Financial Services
About the Role A National Bank is building a new, high-impact engineering team and is seeking a very senior Senior Data Engineerto lead the initiative. This role combines technical expertise in modern data engineering with the leadership responsibility of guiding and mentoring a team to deliver scalable, secure, and business-critical data solutions.
The ideal candidate is a proven leader in enterprise data engineering, capable of shaping strategy, driving best practices, and inspiring teams while staying hands-on with architecture, pipelines, and platforms.
Key ResponsibilitiesLeadership & Strategy
- Lead and mentor a team of data engineers, fostering a culture of accountability, innovation, and technical excellence.
- Establish best practices for data governance, data quality, and engineering standards across the enterprise.
- Partner with executives, architects, and business leaders to align data engineering strategies with business objectives.
Technical Delivery - Design and maintain large-scale, high-performance data pipelines and ETL/ELT processes.
- Develop and optimize solutions for data ingestion, transformation, and delivery across multiple domains.
- Implement modern frameworks such as Databricks, Spark, PySpark, Azure Data Factory, Synapse, and Snowflake.
- Ensure reliability, scalability, and security of data platforms in both cloud (Azure/AWS/GCP) and hybrid environments.
Collaboration - Partner closely with Data Science, Analytics, and Application Engineering teams to deliver integrated solutions.
- Lead incident resolution, production support, and continuous improvement for enterprise data systems.
- Serve as the primary technical authority for the data engineering team.
Qualifications - 10+ years of professional experience in data engineering with at least 3–5 years in a technical leadership role.
- Proven expertise with big data platforms (Databricks, Spark, Hadoop), SQL and NoSQL databases, and ETL tools.
- Strong hands-on coding skills in Python, PySpark, or Scala.
- Deep knowledge of cloud-native data solutions (Azure Data Lake, Synapse, Data Factory, AWS Redshift, GCP BigQuery).
- Experience with data governance, data quality frameworks, and security practices.
- Strong problem-solving skills, communication ability, and mentoring experience.
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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