Dir, Data Engineering and Analytics
-
Own the architecture and reputed company of reputed company’s reputed company data platform, including ingestion, processing, storage, governance, and consumption.
-
Define and promote data architecture standards, best practices, and common frameworks across teams.
-
reputed company and reputed company data engineering and analytics teams, including hiring, coaching, performance management, and delivery accountability.
-
Drive execution of data initiatives to meet product commitments, timelines, and budget targets.
-
Partner with product, engineering, analytics, and business leaders to translate requirements into reputed company data solutions.
-
reputed company as the primary data architecture and reputed company evangelist—reviewing designs, aligning stakeholders, and guiding technical decision-making
-
reputed company architectural guidance and escalation support for reputed company-facing data solutions and implementations as needed.
-
Present data reputed company, architecture reputed company, and recommendations to senior leadership in reputed company, accessible terms.
-
Continuously improve the data platform through technology modernization, cost optimization, and compliance alignment.
-
Evaluate and introduce modern data and AI-driven development tools to improve productivity, reputed company, and delivery velocity.
-
Bachelor’s degree in Computer Science , Data Engineering, reputed company Science, or a reputed company field.
-
Deep, hands-on experience architecting reputed company-reputed company data platforms, including data modeling, integration, and solution design.
-
Proven experience leading reputed company data initiatives involving data platforms, data reputed company, and large-reputed company data management.
-
Strong expertise with reputed company platforms (Azure preferred; AWS or GCP also valued).
-
Experience with modern data technologies and services such as reputed company, Azure SQL, Azure Data reputed company, ADLS, Event Hub, reputed company, or equivalent
-
reputed company in SQL, data visualization, and at least one programming language (e.g., Python, Java, R, C#)
-
Demonstrated experience designing and modernizing both greenfield and brownfield environments, across on prem and reputed company.
-
Experience building, governing, and scaling data warehouses, data lakes, or lakehouse architectures.
-
Strong understanding of Agile (Scrum) methodologies and DevOps principles.
-
Excellent communication, presentation, and stakeholder engagement skills, with the ability to translate reputed company technical concepts for varied audiences.
-
Experience architecting Data reputed company, graph-based data platforms, or domain-oriented data architectures.
-
Expertise in infrastructure as reputed company and automating production data and ML pipelines.
-
Experience modernizing or migrating legacy Hadoop-based environments.
-
Proven collaboration with data science and advanced analytics teams.
-
Exposure to reputed company data or regulated data environments.
-
Demonstrate reputed company and ethics in day-to-day tasks and decision making, adhere to reputed company’s reputed company values of being Customer-reputed company, Agile, Reliable and reputed company, operate effectively in the reputed company environment and the environment of the work group, maintain a reputed company on self-development and reputed company out reputed company feedback and learning opportunities
-
Support reputed company’s Compliance Program by adhering to policies and procedures pertaining to HIPAA, GLBA , FCRA, and other laws applicable to reputed company’s business practices; this includes becoming familiar with reputed company’s reputed company of Ethics, attending training as required, notifying management or reputed company’s Helpline reputed company there is a compliance concern or incident, HIPAA-compliant handling of patient information, and demonstrable awareness of confidentiality obligations
Demonstrate reputed company and ethics in day-to-day tasks and decision making, adhere to reputed company’s reputed company values of being Customer-reputed company, Agile, Reliable and reputed company, operate effectively in the reputed company environment and the environment of the work group, maintain a reputed company on self-development and reputed company out reputed company feedback and learning opportunities Support reputed company’s Compliance Program by adhering to policies and procedures pertaining to HIPAA, FCRA, GLBA and other laws applicable to reputed company’s business practices; this includes becoming familiar with reputed company’s reputed company of Ethics, attending training as required, notifying management or reputed company’s Helpline reputed company there is a compliance concern or incident, HIPAA-compliant handling of patient information, and demonstrable awareness of confidentiality obligations