ZipRecruiter

Log In

1

Executive Databricks Developer Jobs in Ridgefield Park, NJ

Soda Data

Sales Engineer (NYC)

New York, NY · On-site

$100K - $130K/yr

We're hiring a Sales Engineer in our Brooklyn HQ, working in-person with the CEO, CMO, and the rest ... Learn the enterprise data stack - Snowflake, Databricks, dbt, Airflow, Kafka Requirements Must have ...

Soda Data

Sales Engineer (NYC)

New York, NY · On-site

$100K - $130K/yr

We're hiring a Sales Engineer in our Brooklyn HQ, working in-person with the CEO, CMO, and the rest ... Learn the enterprise data stack - Snowflake, Databricks, dbt, Airflow, Kafka Requirements Must have ...

Soda Data

Sales Engineer (NYC)

New York, NY · On-site

$100K - $130K/yr

We're hiring a Sales Engineer in our Brooklyn HQ, working in-person with the CEO, CMO, and the rest ... Learn the enterprise data stack - Snowflake, Databricks, dbt, Airflow, Kafka Requirements Must have ...

Soda Data

Graduate Sales Engineer (NYC)

New York, NY · On-site

$80K - $100K/yr

We're hiring a Graduate Sales Engineer in our Brooklyn HQ, working in-person with the CEO, CMO, and ... Learn the enterprise data stack - Snowflake, Databricks, dbt, Airflow, Kafka Requirements Must have

Monte Carlo

Strategic Account Executive, East

New York, NY · On-site

$150K - $175K/yr

Collaborate across all major internal functional areas (sales engineering, marketing, sales, and ... Monte Carlo Named 2025 Databricks Data Governance Partner of the Year We were recently recognized ...

Dentsu, Inc.

VP, AI Agents & Automation

New York, NY · On-site

$136K - $220K/yr

Role Summary Reports to: EVP, Data Experience Lead the design and delivery of agentic AI systems ... Lead a team of seven (1 onshore Senior AI Engineer, 1 offshore Director/Staff AI Engineer, 3 ...

RYZ Labs

Director, Enterprise Sales

New York, NY · On-site

Reporting directly to the CEO, you will be responsible for developing strategic relationships with ... Engineering, Heads of Product, and other technology leaders Own the full enterprise sales cycle ...

Rearc

VP of Sales

New York, NY · On-site

Deep knowledge of the Databricks ecosystem and its enterprise and financial services practice areas ... A genuine understanding of data engineering, AI/ML, and modern data platforms - you don't need to ...

next page

Showing results 1-20

All JobsDatabricks Developer JobsExecutive Databricks Developer JobsExecutive Databricks Developer Jobs in Ridgefield Park, NJ

Executive Databricks Developer information

What are the most commonly searched types of Databricks Developer jobs in Ridgefield Park, NJ? The most popular types of Databricks Developer jobs in Ridgefield Park, NJ are:
What cities near Ridgefield Park, NJ are hiring for Executive Databricks Developer jobs? Cities near Ridgefield Park, NJ with the most Executive Databricks Developer job openings:
Executive Databricks Developer jobs near you
Infographic showing various Executive Databricks Developer job openings in Ridgefield Park, NJ as of July 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 77% Physical, 5% Hybrid, and 18% Remote job distribution.
Datawarehouse Architect with Capital Market Domain

Datawarehouse Architect with Capital Market Domain

Accord Technologies Inc.

New York, NY • On-site

Contractor

Posted 3 days ago

Job description

Datawarehouse Architect with Capital market Domain 
New York, NY  (Need Onsite day 1, Hybrid 3 days from office)
Position type: W2 contract
Job Description:

We are looking for a highly proficient Data Warehouse Architect to lead the design and implementation of our enterprise data solutions. The ideal candidate will possess strong expertise in Azure Databricks, Python, and have a deep understanding of the financial or capital markets domain to support our data-driven initiatives and strategic insights.
The Role
Responsibilities:
  • Design, develop, and optimize scalable data warehouse architectures leveraging Azure cloud services.
  • Build and maintain robust data pipelines and workflows using Azure Databricks and Python.
  • Collaborate with business teams to understand data requirements and translate them into effective technical solutions.
  • Ensure high data quality, security, and compliance with industry standards and regulations.
  • Lead efforts to migrate legacy data systems to modern cloud-based architectures.
  • Develop data models, ETL/ELT processes, and performance tuning strategies.
  • Provide technical leadership, mentorship, and guidance to data engineering teams.
  • Monitor data pipelines for reliability and troubleshoot issues as they arise.
  • Stay current with emerging technologies, tools, and best practices in big data, cloud computing, and financial data management.
Requirements:
  • Data Governance & Compliance:
  • Define and operationalize the Data Governance framework covering data ownership, stewardship, classification, lineage, and quality SLAs in collaboration with the CDO and Compliance teams.
  • Implement automated end-to-end data lineage capabilities to support audit trails and regulatory examinations.
  • Establish and monitor data quality dimensions such as completeness, accuracy, consistency, and timeliness with automated profiling and alerting for critical financial datasets.
  • Drive data cataloguing initiatives, business glossary management, and metadata enrichment to improve enterprise-wide data democratization.
  • Ensure adherence to financial industry governance, security, privacy, and regulatory requirements.
  • Stakeholder Engagement & Leadership:
  • Act as a trusted technical advisor to senior stakeholders on enterprise data strategy and platform capabilities.
  • Lead and mentor a team of data engineers through architectural guidance, code reviews, and technical coaching.
  • Partner with Enterprise Architecture and Infrastructure teams to ensure alignment with bank-wide technology standards.
  • Produce clear technical documentation, architecture diagrams, and executive-level presentations for technical and non-technical audiences.
  • 12+ Years experience as a Data Warehouse Architect or in a similar senior data engineering role.
  • Hands-on experience with Azure Databricks, Python, and related Azure Data Services.
  • Strong proficiency in SQL and data modeling techniques.
  • Experience developing data pipelines, ETL/ELT workflows, and working with big data technologies such as Spark.
  • Deep domain knowledge of the financial or capital markets industry, including financial instruments, trading, risk management, and regulatory compliance.
  • Familiarity with data governance, security, and regulatory requirements.
  • Bachelor’s degree in Computer Science, Information Technology, or a related field; Master’s degree preferred.
  • Excellent communication skills with the ability to collaborate effectively across cross-functional teams and executive stakeholders.
Preferred, but not required:
  • Azure certifications such as Azure Data Engineer, Azure Data Scientist, or Azure Solutions Architect.
  • Experience with additional programming languages such as Scala, Java, or C#.
  • Knowledge of financial data standards and protocols.
  • Familiarity with BI tools and reporting platforms.