AWS Solution Architect

Sr. Solution Architect – AWS/Snowflake

Contract

Offshore - Remote

Job Description:

As a Senior Solution Architect on the Data Analytics Data Platform (DADP) team, you recommend, analyze, design, develop, and deliver business intelligence solutions primarily using data platform-related services on AWS. The Senior Solution Architect is an expert at using analytical and critical thinking skills with modern data platform solution development experience who creates scalable and reliable data solutions. The Senior Architect can lead all parts of the platform development process, from gathering requirements, to solution delivery, and documentation of lessons learned along with recommending, designing & developing these client solutions. You also actively coach and mentor data engineers and solution architects.

Candidate Requirements

• Top 3-5 Must-Have Skills:
• 7-9 years experience in data engineering
• Data engineering experience should include the following modern data platform or engineering technologies: Snowflake, dbt, Airflow, Databricks, Redshift, and Palantir.
• Excellent communication skills
• Data Modeling and engineering

Responsibilities

• Demonstrates passion, excellence, trust, transparency, and client focus.
• Partners with customers and stakeholders to architect data platform solutions that answer key business questions.
• Designs, proposes, builds, and maintains databases and data lakes, data pipelines that transform and model data, and reporting and analytics solutions.
• Understands business problems and processes based on direct conversations with customers, can see the big picture, and translate that into specific solutions.
• Efficiently, effectively, and carefully leverage, evaluate, and recommend AI tools to develop data platforms and data analytics solutions.
• Is a trusted advisor in providing value and solutions to a variety of clients in different industries.
• Organizes, leads, and contributes to internal Communities of Interest
• Functions as the technical lead on projects.
• Leads and conducts assessment and strategy roadmap engagements.
• Identifies issues early, proposes solutions, and tactfully raises concerns and proposes solutions.
• Builds data platform roadmaps and identifies milestones.
• Conducts code peer reviews.
• Clearly articulates pros and cons of various tools/approaches.
• Documents and diagrams proposed solutions.
• Orchestrates solutions to reduce data latency and cost, picking the right service based on the workload.
• Understands cloud services pricing, plus how to monitor and manage costs as part of solution development.
• Participate in pre-sales efforts including whiteboard sessions, ROM development, and peer reviews of sales documents.
• Actively coaches and mentors Data Engineers and Solution Architects.
• Regularly contributes to and develops delivery frameworks and tools.
• Approaches conflict directly, assumes positive intent, and seeks help from leaders if needed.
• Adapts positively to change by embracing new practices, processes, or circumstances.
• Presents a positive, professional, and self-confident image.
• Communicates accurately, concisely, and effectively.
• Respectfully listens to others' ideas and concerns with an open mind.
• Develops and maintains effective working relationships with others.
• Leads collaboratively to solve problems and puts team success first.
• Holds self and others accountable for responsibilities.
• Accepts responsibility for own decisions and actions without excuses.
• May balance multiple projects while still focusing on the needs of end users, clients, and the project manager.

Required Technical Skills

• 7 - 9 years of work experience in data engineering
• Your data engineering experience should include the following modern data platform or engineering technologies: Snowflake, dbt, Airflow, Databricks, Redshift, and Palantir.
• Understanding of Agile engineering practices
• Deep familiarity and experience in the following areas: Data warehouse and lakehouse methodologies, including medallion architecture; Data ETL/ELT processes; Data profiling and anomaly detection; Data modeling (Dimensional/Kimball); SQL
• Strong background in relational database platforms
• DevOps/Continuous integration & continuous delivery

Thanks

Job Type: Contractual / Temporary

Contract length: 12 months

Pay: Up to ₹3,000,000.00 per year

Work Location: Remote