Databricks Lead

Synechron; New Jersey; On-site; USD 125,000 - 130,000; Full time

Benefits offered by this job

Competitive compensation

Work abroad opportunities

10 days paid annual leave

Insurance plan (medical, dental,vision

Retirement plans

Udemy for Business

Training & development

Coaching from FinLabs/CoE

Projects with leading banks

Diverse global culture

Job summary

Synechron in New Jersey is seeking an experienced Senior Data Engineer to lead Databricks-based data platforms and scalable data pipelines for financial services clients.

You will mentor engineers, collaborate with product owners and data scientists, and drive best practices in data governance, performance, and cost optimization. The role offers a competitive package and opportunities to work with cutting-edge technologies across cloud platforms.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
• 7+ years of experience in data engineering, big data, or cloud data platforms.
• 3+ years of hands-on experience with Databricks and Apache Spark.
• Strong proficiency in Python and SQL.
• Experience with Delta Lake, Databricks Workflows, notebooks, cluster configuration, and performance tuning.
• Experience with at least one major cloud platform: Azure, AWS, or Google Cloud.
• Strong understanding of data warehousing, data lakes, dimensional modeling, and distributed processing.
• Proven experience leading technical teams or complex data engineering initiatives.

Responsibilities

• Lead the architecture and implementation of Databricks-based data platforms.
• Design scalable batch and real-time data pipelines using Spark, Delta Lake, and Structured Streaming.
• Develop and optimize ETL/ELT workflows using Python, SQL, and orchestration tools.
• Establish best practices for data modeling, performance tuning, monitoring, and cost optimization.
• Implement data governance, security access controls, lineage, and cataloging using Unity Catalog and related tools.
• Integrate Databricks with cloud platforms, data warehouses, APIs, and enterprise applications.
• Lead technical design reviews, code reviews, and engineering standards.
• Mentor data engineers and provide guidance on Databricks development practices.
• Collaborate with product owners, analysts, data scientists, and business stakeholders to translate requirements into robust data solutions.
• Support CI/CD, automated testing, deployment, and operational support for data workloads.

Skills

Databricks

Apache Spark

Python

SQL

Data warehousing

Leadership

Cloud platforms

Education

Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field

Tools

Delta Lake

Databricks Workflows

Delta Live Tables

MLflow

Job description

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets.

Additional Information*

The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within New Jersey $125k - $130k/year & benefits (see below).

• Lead the architecture and implementation of Databricks-based data platforms.
• Design scalable batch and real-time data pipelines using Apache Spark, Delta Lake, and Structured Streaming.
• Develop and optimize ETL/ELT workflows using Python, SQL, and orchestration tools.
• Establish best practices for data modeling, performance tuning, monitoring, and cost optimization.
• Implement data governance, security access controls, lineage, and cataloging using Unity Catalog and related tools.
• Integrate Databricks with cloud platforms, data warehouses, APIs, and enterprise applications.
• Lead technical design reviews, code reviews, and engineering standards.
• Mentor data engineers and provide guidance on Databricks development practices.
• Collaborate with product owners, analysts, data scientists, and business stakeholders to translate requirements into robust data solutions.
• Support CI/CD, automated testing, deployment, and operational support for data workloads.

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
• 7+ years of experience in data engineering, big data, or cloud data platforms.
• 3+ years of hands-on experience with Databricks and Apache Spark.
• Strong proficiency in Python and SQL.
• Experience with Delta Lake, Databricks Workflows, notebooks, cluster configuration, and performance tuning.
• Experience with at least one major cloud platform: Azure, AWS, or Google Cloud.
• Strong understanding of data warehousing, data lakes, dimensional modeling, and distributed processing.
• Proven experience leading technical teams or complex data engineering initiatives.

Preferred Qualifications

• Databricks Certified Data Engineer or related certification.
• Experience with Unity Catalog, Delta Live Tables, MLflow, or Databricks SQL.
• Knowledge of Azure Data Factory, Airflow, dbt, Kafka, Terraform, or equivalent tools.
• Experience implementing CI/CD using GitHub Actions, Azure DevOps, Jenkins, or similar platforms.
• Familiarity with data governance, privacy, security, and regulatory requirements.
• Experience working in Agile delivery environments.

We offer:

• A highly competitive compensation and benefits package.
• A multinational organization with 58 offices in 21 countries and the possibility to work abroad.
• 10 days of paid annual leave (plus sick leave and national holidays).
• Maternity & paternity leave plans.
• A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region).
• Retirement savings plans.
• A higher education certification policy.
• Commuter benefits (varies by region).
• Extensive training opportunities, focused on skills, substantive knowledge, and personal development.
• On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses.
• Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups.
• Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms.
• A flat and approachable organization.
• A truly diverse, fun-loving, and global work culture.

SYNECHRON’S DIVERSITY & INCLUSION STATEMENT

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.