Lead Data Engineer, Master Data Management

Job not on LinkedIn

🔥 12 hours ago

🇺🇸 United States – Remote

💵 $145k - $180k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

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Clearstead

WebsiteLinkedInAll Job Openings

51 - 200 employees

🛡️ Insurance

⚖️ Legal

💸 Finance

💰 $7.3M Venture Round on 2022-08

Insurance • Legal • Finance

Clearstead is a financial services firm that helps wealthy families and prominent institutions achieve their financial objectives and aspirations. The company focuses on building stronger futures for clients, their families, and their communities through tailored financial strategies and solutions.

📋 Description

• Design and implement real-time and batch data processing solutions for modeling, analytics, and reporting • Develop and maintain scalable data pipelines and API integrations • Build and manage complex datasets • Develop database applications and data integration layers using database programming languages, ETL tools, and scripting languages • Establish and promote data engineering standards, documentation, coding practices, and technical best practices • Apply security standards and controls to protect enterprise data and code • Connect data across cloud, multicloud, and on-premises environments • Research and recommend enhancements to database design, development practices, tools, and platform capabilities • Partner with data scientists and business teams on modeling, reporting, data processing, and visualization needs • Troubleshoot data design, engineering, and integration issues • Develop and implement enterprise data governance policies, standards, and ownership frameworks • Establish unified records for clients, households, legal entities, and accounts • Lead data matching, entity resolution, duplicate identification, and stewardship processes • Establish business definitions, data dictionaries, and certification standards • Design and implement automated data quality checks, reconciliation processes, and remediation procedures • Co-own the Databricks platform, including Unity Catalog and data access controls • Provide second-line support for the Databricks platform • Monitor data integrity and resolve quality issues across enterprise systems • Support data integration and standardization following acquisitions • Establish and lead cross-functional data ownership and governance forums • Standardize data definitions and resolve inconsistencies with business leaders • Communicate data quality findings, risks, and improvement opportunities • Drive accountability for enterprise data quality and governance standards • Chair the firm’s quarterly review of AI agents • Collaborate across wealth management, investments, operations, finance, compliance, and technology

🎯 Requirements

• Bachelor’s degree in Data Management, Information Systems, Computer Science, Business Analytics, or a related field, or an equivalent combination of education and relevant professional experience • 8+ years of experience in data engineering, data management, master data management, or related disciplines, including hands-on pipeline and integration development • Hands-on experience with PySpark, SQL, Delta Lake, Databricks Workflows, real-time and batch ETL, and API integrations • 3+ years of experience leading data governance or master data management initiatives • Experience establishing master records, data ownership models, and enterprise data standards • Hands-on experience with Databricks and Unity Catalog in production environments • Strong understanding of data quality, data modeling, entity resolution, and data access controls • Experience partnering with business stakeholders to implement data governance practices • Knowledge of data privacy, regulatory requirements, and information security principles • Strong communication, collaboration, and stakeholder management skills • Advanced degree in Information Systems, Data Analytics, or a related discipline (preferred) • Databricks Data Engineer Associate or Professional certification, Certified Data Management Professional (CDMP) designation, or comparable industry certification (preferred) • Experience in financial services, wealth management, or another regulated industry (preferred) • Familiarity with Salesforce Financial Services Cloud, Orion, or Addepar (preferred) • Experience with enterprise AI governance (preferred) • Experience integrating and standardizing data following acquisitions (preferred)

🏖️ Benefits

• Fully remote work arrangement • Limited travel for training, team meetings, or other business-related activities

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