Job Description

About You:
You are a strategic thinker with a passion for building scalable, cloud-native solutions. With a strong technical background, you excel in driving data platform implementations and managing complex projects. Your expertise in platforms like Snowflake, AWS, and Azure is complemented by a deep understanding of how to align data infrastructure with strategic business goals.
You have a proven track record in professional consulting, building scalable, secure solutions that optimize data platform performance. You thrive in environments that challenge you to think critically, lead technical teams, and optimize systems for continuous improvement.
As a part of our Managed Services team, you are driven by a commitment to customer success and long-term growth. You embrace best practices, champion effective platform management, and contribute to the evolution of data platforms by promoting phData's . Your approach is hands-on, collaborative, and results-oriented, making you a key player in ensuring clients' ongoing success.
Key Responsibilities:

• Technical Leadership:

• Lead the design, architecture, and implementation of large-scale data platform projects on Snowflake, AWS, and Azure.
• Guide technical teams through data migration, integration, and performance optimization.
• Platform Optimization, Integration and Automation:

• Identify opportunities for automation and performance optimization to enhance client's data platform capabilities.
• Lead data migration to cloud platforms (e.g., Snowflake, Redshift), ensuring smooth integration of data lakes, data warehouses, and distributed systems.
• Platform Security:

• Setting up a client's data platform with industry best practices & robust security standards including Data Governance.
• Process Engineering:

• Adapt to ongoing changes in platform environment, data, and technology by debugging, enhancing features, and re-engineering as needed.
• Plan ahead for changes to upstream data sources to minimize impact on users and systems, ensuring scalable adoption of modern data platforms.
• Consulting Leadership:

• Manage multiple customer engagements to ensure timely project delivery, optimize operations to prevent resource overruns, and maximize platform ROI.
• Serve as a trusted advisor, offering strategic guidance on data platform optimization and addressing technical challenges to meet business goals.
• Cross-functional Collaboration & Mentorship:

• Partner with sales, engineering, and support teams to ensure seamless project delivery and high customer satisfaction.
• Provide mentorship and technical guidance to junior engineers, promoting a culture of continuous learning and excellence.

Key Skills and Experience:
Required:

• Solutions Architecture: 10 years of hands-on experience of architecting, designing, implementing, and managing cloud-native data platforms and solutions.
• Client-Facing Skills: Strong communication skills, with experience presenting to executive stakeholders and creating detailed solution documentation.
• Data Platforms: Extensive experience managing enterprise data platforms (e.g., Snowflake, Redshift, Azure Data Warehouse) with strong skills in performance tuning and troubleshooting.
• Cloud Expertise: Deep knowledge of AWS, Azure, and Snowflake ecosystems, including services like S3, ADLS, Kinesis, Data Factory, DBT, and Kafka.
• IT Operations: Build and manage scalable, secure data platforms aligned with strategic goals. Excel at optimizing systems and driving continuous improvement in platform performance.
• SQL Mastery: Advanced proficiency in Microsoft SQL, including writing, debugging, and optimizing queries.
• DevOps and Infrastructure: Proficiency in infrastructure-as-code (IaC) tools like Terraform or CloudFormation, and experience with CI/CD pipelines (e.g., Bitbucket, GitHub).
• Data Integration Tools: Expertise with tools such as AWS Data Migration Services, Azure Data Factory, Matillion, Fivetran, or Spark.

Preferred:

• Certifications: Snowflake SnowPro Core certification or equivalent.
• Python Proficiency: Experience using Python for task automation and operational efficiency.
• CI/CD Expertise: Hands-on experience with automated deployment frameworks, such as Flyway or Liquibase.

Education:

• A Bachelor's degree in Computer Science, Engineering, or a related field is highly preferred
• Advanced degrees or equivalent certifications are preferred.

Why phData? We offer:

• Remote-First Workplace
• Medical Insurance for Self & Family
• Medical Insurance for Parents
• Term Life & Personal Accident
• Wellness Allowance
• Broadband Reimbursement
• 2-4 week bootcamp and provide continuous learning opportunities to enhance your skills and expertise
• Other perks include paid certifications, professional development allowance and additional compensation for creating company-approved content (dashboards, blogs, videos, whitepapers, etc.)