Principal Solutions Architect – Data and Advanced Analytics

The Opportunity

Education

Bachelor’s or Master’s degree in computer science, Data Science, or a related field.

Experience: 15+ years of experience in data architecture roadmaps, data modeling, and database design, data engineering, building data pipelines, ETL processes, business analytics, data science, software development, data modeling or data engineering work and distributed data systems with at least 3 years in a leadership or principal architect role.

Strong technical knowledge for designing and implementing data integration & migration, data management, data analytic & reporting solutions.

Experienced in implementing some machine learning techniques (may include supervised and unsupervised learning, deep learning, natural language processing, ensemble methods, dimensionality reduction)

Skilled in programming languages like Python, R, SQL, and experience in working with data visualization tools like Tableau and Power BI.

Experienced in implementing Snowflake for data engineering and data science.

Experienced in implementing enterprise data management architecture and solutions.

Hands-on expertise in Cloud Data technologies (Databricks, Microsoft OneLake/Fabric, Snowflake, AWS or GCP)

Expertise in ETL tools (Matillion, Fivetran, SAP BODS, Snowpipe, Informatica or similar tools), ETL/Data integration/Streaming – Talend, DataBricks, Python, Spark, Kafka

Exposure to real-time data processing and streaming technologies such as Kafka, Spark

Current deep experience with AWS, APIs, accelerators, DevSecOps

Enterprise Data Catalog tools including Collibra, Alation

Expert knowledge of Power BI tool

Proficient in DAX, M, SQL, with the ability to write complex and optimized queries

Exposure to LLMs, MLs including Supervised, Unsupervised, Regression, Classification, NN, Clustering, SVM, Recommender Systems, NLP etc is a plus

Experience in Python ML Libraries like - Pandas, Numpy, Scipy, Matplotlib, NLTK etc. & Open-Source ML Stack TensorFlow, Keras etc

SAP functional domain knowledge is big plus (Supply Chain, Finance etc.)

Strong programming skills in languages such as SQL, Python, C#, Spark, and/or R. Utilize architectural methods and standards to design secure application integrations and data provisioning methodologies for reporting and analytics.

Experience in data governance, data security, data mesh, fabric, lakehouse, data compliance etc.

Relevant certifications in AWS, Azure, and enterprise architecture (e.g., AWS Certified Solutions Architect Associate, Azure Fundamentals, Azure Data Fundamentals, TOGAF).

Strong knowledge of data modeling, database design, and ETL processes.

Ability to assist in the architecture and development of a DevSecOps, CI/CD analytics development pipeline environment using in-house and cloud-based technologies.

Excellent communication and presentation skills with the ability to present complex data insights to both technical and non-technical audiences.

Strong analytical skills with the ability to collect, organize, analyze, and disseminate insights with attention to detail and accuracy.

Good team player, able to manage multiple assignments, and adapt to changing client needs.

Skilled in implementing advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.)

Familiarity with machine learning frameworks (like Keras or PyTorch), libraries (like scikit-learn), and data science platforms (like Databricks and SageMaker)

Who you are

Expert in data warehousing, data lakes, and data governance, data integration, Business Intelligence and analytics, AI and automation capabilities.

Possess deep understanding of Master Data, Data Quality, and related best practices.

Works with the Senior leadership within Technology and Business to develop architecture priorities and direction to enable business imperatives

Displays strong thought leadership in pursuit of modern architecture principals and technology modernization

Have proven experience with Cloud Technologies, notably AWS and Azure.

Hands-on expert with modern data tools and platforms such as Databricks, Snowflake, Alation, and Collibra.

Develops data-driven solutions to unusually complex business challenges.

Experience in programming languages such as Scala, Python, or similar

Have a strong background in AI/ML technologies and integrating them with data platforms.

Are experienced in data modeling, data warehouse design, data analytics design, and complex data migrations.

Exceptional problem-solver and with a keen attention to detail.

Excellent communicator and collaborator.

Demonstrated leader in guiding data strategy in a growing organization.

Certified in AWS, Azure, Databricks, Snowflake, or similar platforms a plus.

Prior experience in life sciences or supply chain domain a plus

How you will create an impact

Architect, design, and develop data platforms and solutions that are scalable, reliable, and performant.

Lead the design and implementation of robust data pipelines and ETL processes.

Drive the strategy and implementation for data warehousing, data lakes, and data governance.

Define data strategies, and leverage the latest technologies in data handling and data analytics.

Ensure high-quality data architecture, including adherence to Master Data and Data Quality best practices.

Oversee design of data models and designs required to implement performant Microsoft BI /Tableau/Qlik/SAP Reporting Solutions

Collaborate with AI/ML teams to prepare and model application data for downstream analytical needs.

Research, recommend, and integrate new data technologies and tools as needed.

Collaborate with cross-functional teams to ensure that data solutions are aligned with company needs and architectural best practices.

Provide mentorship to junior data engineers and architects, promoting a culture of continuous learning and innovation.

Advocate for best practices in cloud technologies, ensuring e