Senior Cloud Data Engineer / Architect

Position Details:

Title: Senior Cloud Data Engineer / Architect

Term: 10+ Months (Possible extension)

Location: Quincy, MA

Mode: Hybrid

Working hrs: 37.5 hrs/week

Client is seeking a Senior Cloud Data Engineer to play a crucial role in leading Data platform architecture design and implementation. The Office is leading a central Data Modernization program that will include new central data capabilities, as well as improvements and coordination with its 12 constituent agencies, such as the Department of Public Health and the Department of Mental Health. The ideal candidate is an expert in Design and implementation of Data pipelines in a decentralized Data architecture like Data Mesh. You can clearly articulate and implement different data ingestion patterns depending on use case. In this role, you are comfortable speaking to both business and technical stakeholders to ensure combined understanding and collaborative solutions. This role will be expected to own tasks and follow-up related to cloud data platform Design and development activities and establish well documented best practices and processes related to the Data Modernization efforts. This is a new role for an expanding office which will lead Data engineering activities. The role will be highly visible to IT & agency leadership, as well as across to other Executive Offices. In the first 6 months, you will work with the Chief Data Officer, Director of Data Management and Engineering, Platform Administrators and Data Architect to support data modernization efforts around enterprise data mesh using modern cloud data tools (Snowflake, IICS, Airflow) and the ability to produce core KPIs on agency activities through Tableau. Data will be combined from multiple federated data sources, such as agency applications and data warehousing, into a coherent reporting and analytical picture for EOHHS. As the program matures, opportunity will arise to engage in more challenging analytical problems, such as machine learning and predictive analytics.

DETAILED LIST OF JOB DUTIES AND RESPONSIBILITIES

• Involve in Design and development of cloud-based data management systems.
• Proficiency and practical experience in Design and implementation of data pipelines in a decentralized data architectures like Data Mesh.
• Ensures established data security policies and standards are followed while designing data solution for cloud-based platforms.
• Collaborates with cross-functional teams to architect highly scalable, highly available, and highly performant cloud data solutions.
• Evaluates and recommends new cloud products and services for efficient data curation, storage and processing.
• Monitors the performance of cloud data solutions and strategizes optimization measures.
• Ensures compliance with data governance policies and best practices in the cloud.
• Implements data management and data governance processes for cloud data. Conducts thorough analysis and documentation of cloud data engineering strategies and designs.
• Establish regular overall system performance assessment processes and action plans.
• Expertise in Data Integration leveraging Informatica (IICS), Snowflake, SQL and Python code to solve complex use cases
• Provide direction for the design and development of the data layers including review of ETL requirements.
• Capable of leading team design sessions and facilitating decisions.
• Ensure timely delivery of solutions meeting requirements and expectations

Qualifications: Minimum experience/skills:

• 5+ years of experience in Cloud Data Architecture, data warehousing, data modeling, ETL, enterprise and business information system architectures, and system engineering
• Thorough knowledge and Implementation experience of data warehouse and Enterprise Data architecture principles, specifically Decentralized data architectures like Data Mesh.
• 3-5 years of experience developing Cloud-based (AWS) data solutions.
• 5+ years of Cloud database platform experience such as Snowflake.
• Experience in creating and maintaining end-to-end data pipelines.
• Strong communication skills comfortable explaining/proposing solutions to technical stakeholders, vendors, and business consumers.
• Proficiency with Unix, Linux, and shell scripting
• Experience working with a large, multi-terabyte enterprise data platform in Cloud.
• Clear understanding on system administration, database administration, storage architectures, backup & recovery, and networking.
• 3-5 years of experience in Informatica (IICS) ETL, Snowflake Data Warehousing and Airflow (Orchestration) experience.
• Experience working with highly sensitive health care information and familiar with HIPAA and other data privacy controls.

Preferred experience/skills: Amazon Web Services (AWS) Certification or Cloud Data Engineer Certification

• Informatica (IICS) and Airflow (Orchestration) experience
• Snowflake certification

Cognos and/or Tableau reporting experience

Please feel free to connect recruiter at

Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.

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