What are the responsibilities and job description for the Data Architect_New York position at Photon?
Overview:
We are seeking a
Data and AI Architect
with a proven track record in designing and implementing data platforms and AI solutions using cloud technologies (AWS, Azure, GCP), Databricks, and Snowflake. The ideal candidate will combine technical expertise, hands-on experience, and leadership capabilities to deliver impactful solutions for our clients, including the development and deployment of GenAI solutions for next-generation business applications.
Key Responsibilities:
Solution Design and Implementation
Architect and implement modern data platforms using cloud technologies such as AWS, Azure, and GCP.
Build scalable and efficient data pipelines leveraging Databricks and Snowflake to support diverse client needs.
Design and deploy AI/GenAI solutions, including machine learning models, natural language processing tools, and predictive analytics, to address complex business challenges.
Data Governance and Quality
Develop data governance frameworks to ensure data quality, security, and compliance with industry regulations.
Implement best practices for data lineage, monitoring, and cataloging using tools like Databricks and Snowflake.
Work with clients to establish policies for managing data assets and ensuring compliance with GDPR, CCPA, and other regulatory requirements.
Client Engagement and Delivery
Act as a trusted technical advisor to clients, translating business challenges into actionable data and AI strategies.
Lead workshops, provide guidance on architecture decisions, and ensure alignment with client objectives.
Manage solution delivery, including resource planning, timeline tracking, and adherence to budget constraints.
Technology Expertise and Innovation
Stay current on advancements in cloud platforms, Databricks, Snowflake, and AI technologies to recommend innovative solutions.
Explore and implement GenAI technologies to create transformative solutions such as personalized customer experiences, generative content creation, and intelligent automation.
Contribute to the development of reusable frameworks and accelerators to enhance delivery efficiency.
Team Leadership and Development
Provide technical leadership to cross-functional teams, ensuring high-quality delivery of data and AI projects.
Mentor team members on cloud technologies, data platforms, and AI frameworks.
Foster a collaborative environment to encourage innovation and continuous learning.
Qualifications:
Experience:
6–10 years of experience in data architecture, engineering, or analytics, including client-facing or consulting roles.
Cloud Expertise:
Hands-on experience with AWS, Azure, and GCP, including data storage, compute, and analytics services.
Data Platforms:
Strong knowledge of Databricks and Snowflake, including experience with ETL/ELT workflows, performance tuning, and scaling.
AI/GenAI Knowledge:
Experience designing and deploying AI/GenAI solutions using frameworks like TensorFlow, PyTorch, Hugging Face, and advanced large language models (LLMs) such as OpenAI's GPT and Google's Gemini.
Technical Skills:
Proficiency in SQL, Python, Spark, and other data engineering and analytics tools.
Leadership:
Ability to lead technical teams and manage client engagements effectively.
Education:
Bachelor’s degree in Computer Science, Data Science, or a related field; advanced degree preferred.
Preferred Skills:
Certification in AWS, Azure, or GCP architecture.
Familiarity with tools such as dbt, Apache Airflow, and Kafka.
Knowledge of customer data platforms and data-driven marketing strategies.
Compensation, Benefits and Duration
Minimum Compensation: USD 72,000
Maximum Compensation: USD 252,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is available for independent contractors
No applications will be considered if received more than 120 days after the date of this post
We are seeking a
Data and AI Architect
with a proven track record in designing and implementing data platforms and AI solutions using cloud technologies (AWS, Azure, GCP), Databricks, and Snowflake. The ideal candidate will combine technical expertise, hands-on experience, and leadership capabilities to deliver impactful solutions for our clients, including the development and deployment of GenAI solutions for next-generation business applications.
Key Responsibilities:
Solution Design and Implementation
Architect and implement modern data platforms using cloud technologies such as AWS, Azure, and GCP.
Build scalable and efficient data pipelines leveraging Databricks and Snowflake to support diverse client needs.
Design and deploy AI/GenAI solutions, including machine learning models, natural language processing tools, and predictive analytics, to address complex business challenges.
Data Governance and Quality
Develop data governance frameworks to ensure data quality, security, and compliance with industry regulations.
Implement best practices for data lineage, monitoring, and cataloging using tools like Databricks and Snowflake.
Work with clients to establish policies for managing data assets and ensuring compliance with GDPR, CCPA, and other regulatory requirements.
Client Engagement and Delivery
Act as a trusted technical advisor to clients, translating business challenges into actionable data and AI strategies.
Lead workshops, provide guidance on architecture decisions, and ensure alignment with client objectives.
Manage solution delivery, including resource planning, timeline tracking, and adherence to budget constraints.
Technology Expertise and Innovation
Stay current on advancements in cloud platforms, Databricks, Snowflake, and AI technologies to recommend innovative solutions.
Explore and implement GenAI technologies to create transformative solutions such as personalized customer experiences, generative content creation, and intelligent automation.
Contribute to the development of reusable frameworks and accelerators to enhance delivery efficiency.
Team Leadership and Development
Provide technical leadership to cross-functional teams, ensuring high-quality delivery of data and AI projects.
Mentor team members on cloud technologies, data platforms, and AI frameworks.
Foster a collaborative environment to encourage innovation and continuous learning.
Qualifications:
Experience:
6–10 years of experience in data architecture, engineering, or analytics, including client-facing or consulting roles.
Cloud Expertise:
Hands-on experience with AWS, Azure, and GCP, including data storage, compute, and analytics services.
Data Platforms:
Strong knowledge of Databricks and Snowflake, including experience with ETL/ELT workflows, performance tuning, and scaling.
AI/GenAI Knowledge:
Experience designing and deploying AI/GenAI solutions using frameworks like TensorFlow, PyTorch, Hugging Face, and advanced large language models (LLMs) such as OpenAI's GPT and Google's Gemini.
Technical Skills:
Proficiency in SQL, Python, Spark, and other data engineering and analytics tools.
Leadership:
Ability to lead technical teams and manage client engagements effectively.
Education:
Bachelor’s degree in Computer Science, Data Science, or a related field; advanced degree preferred.
Preferred Skills:
Certification in AWS, Azure, or GCP architecture.
Familiarity with tools such as dbt, Apache Airflow, and Kafka.
Knowledge of customer data platforms and data-driven marketing strategies.
Compensation, Benefits and Duration
Minimum Compensation: USD 72,000
Maximum Compensation: USD 252,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is available for independent contractors
No applications will be considered if received more than 120 days after the date of this post
