Demo

Sr Cloud Data Specialist 1- hybrid in Pittsburgh, PA

A.C.Coy Company
Pittsburgh, PA Full Time
POSTED ON 2/26/2025
AVAILABLE BEFORE 5/18/2025

Overview

Location : Remote but prefer local candidates

Job Type : Contract / Full- Time

Work Authorization : No Sponsorship

The A.C.Coy Company has an immediate need for a Sr Cloud Data Specialist 1. Ideal candidate will be qualified with designing, developing, and implementing data models.

Responsibilities

Strategy & Planning

  • Execute long-term strategic goals for data architecture vision and standards in conjunction with data users, department managers, clients, and other key stakeholders
  • Develop short-term tactical solutions to achieve long-term objectives and an overall data management roadmap
  • Collaborate with third-parties, product / platform teams and business subject matter experts to enable company strategic imperatives that require secure and accessible data cloud capabilities or assist in accessing data required to enrich models
  • Collaborate with IT Enterprise Architecture, Business Intelligence, Data Engineering, Data Quality and Data Governance stakeholders to :

Adhere to and advocate for processes for governing the identification, collection, and use of corporate metadata

  • Take steps to assure metadata accuracy and validity
  • Tracking data quality, completeness, redundancy, and improvement
  • Contribute to cloud consumption cost forecasting, optimizations, usage requirements, proof of concepts, proof of business value, feasibility studies, and other tasks
  • Actively participate in the creation of strategies and plans for data security, backup, disaster recovery, business continuity, and archiving
  • Comply with data strategies, architecture best practice to ensure regulatory compliance
  • Acquisition & Deployment

  • Participate in technical proposals with vendors, cloud providers, and service providers to select the solutions or services that best meet company goals as required
  • Operational Management

  • Ensure that Data Engineering processes follow best practices for SDLC including proper use of source control, branching strategies, deployment pipelines, and change management
  • Assisting to maintain artifacts that represent the current-state, and future-state, system design as part of the technical roadmap for Data
  • Perform regular peer reviews of code and contribute to the success of all data team members
  • Contribute to and promote data management methodologies and standards
  • Investigate and implement the appropriate tools, software, applications, and systems to support data technology goals
  • Ensure the mapping of data sources, data movement, interfaces, and analytics, with the goal of ensuring data quality
  • Work with project managers and business unit leaders on project assignments involving enterprise data
  • Assist with data-related problems regarding systems integration, compatibility, and multiple-platform integration
  • Develop key components as needed to create testing criteria to guarantee the fidelity and performance of data architecture
  • Update the data architecture and environment to maintain a current and accurate view of the implemented structure
  • Identify and develop opportunities for data reuse, migration, or retirement
  • Contribute to the maintenance of data engineering code by identifying and advocating for paying down tech-debt
  • Qualifications

    Education : Bachelor’s degree in computer science, information systems, or computer engineering- In lieu of a bachelor's degree, an equivalent combination of education and experience may be considered

    Experience :

  • Seven (7 ) or more years related experience required
  • Five (5 ) or more years in a data engineering role preferred
  • Two (2 ) or more years' experience as a project or team lead preferred
  • Technical Knowledge & Experience Utilized in this Role Include :

  • Knowledge of data architecture concepts, data mining, large-scale data modeling, cloud data storage, and analytics platforms
  • Experience with Azure, AWS, or Google data capabilities
  • Working experience with one or more cloud data platforms, such as Databricks, Synapse, Foundry, or Snowflake
  • Advanced experience with one or more Cloud Based ELT / ETL services, such as Azure Data Factory or AWS Glue
  • Experience performing data profiling
  • Working knowledge or experience with one or more reporting and / or analytics platforms, such as PowerBI, Tableau, or Looker
  • Direct experience in implementing data solutions in the cloud
  • Experience in deploying infrastructure as code
  • Advanced knowledge of relational data structures, theories, principles, and practices
  • Strong familiarity with metadata management and associated processes
  • Experience with business requirements analysis, entity relationship planning, database design, reporting structures, and so on
  • Ability to work with data owners in support of a data catalog
  • Experience with database management systems, including Oracle RDBMS and SQL Server
  • Understanding of Web services (SOAP, XML, UDDI, WSDL)
  • Understanding of object-oriented programming principals
  • Excellent client / user interaction skills to determine requirements
  • Project management, Product Management and / or Agile Product Team experience preferred
  • Awareness of applicable data privacy practices and laws
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