Associate Data Architect

1 week ago

Lahore, Punjab, Pakistan Data Pilot Full time

At Data Pilot, we're more than just a data product development and consulting services company – we're your strategic partner on the journey from data to decisions. Our mission is simple: to help businesses unlock the full potential of their data assets and maximize business value through our expert engineering and business acumen.

In the dynamic landscape of business, problems are rarely straightforward. That's why we approach challenges with an interdisciplinary mindset, blending technical expertise with a deep understanding of the business context. Our goal is to empower businesses to adapt and thrive in today's fast-paced environment by transforming raw data into actionable insights at lightning speed.

Why choose us? Because we're Problem-Solving Rockstars

  • We're a team of data enthusiasts who thrive on turning complex business problems into impactful solutions.
  • With a fearless attitude and a knack for innovation, we're not afraid to push boundaries and explore new possibilities.
  • Our client-centric approach sets us apart – we listen intently to our clients' needs and feedback to deliver results that exceed expectations.
  • We are working with a diverse portfolio of global businesses, including proptech, media & advertising, agriculture, textile, fashion, food & beverage as well as in the public sector among others.
  • We operate globally and have offices in the USA and Pakistan, successfully completing over 50 projects delivered in the last 2 years.

Ready to join the party? We're on the lookout for energetic, dynamic individuals who aren't afraid to challenge the status quo. If you're ready to break the mold and make an impact, we want to hear from you Send your resume our way and let's embark on this exciting journey together.

Role Overview:

As an Associate Data Architect at Data Pilot, you will play a crucial role in shaping scalable, efficient, and well-governed data architectures that drive advanced data engineering, analytics, and AI initiatives. You will be responsible for designing robust data architecture frameworks, embedding data governance controls, and contributing to the development of next-generation data platforms, including Data Fabric solutions.

Additionally, you will support the development of a Target Operating Model (TOM) for Corporate Data Architecture & Modeling, ensuring that data management strategies align with business objectives. Your role will involve embedding Data Architecture & Modeling control gates across the Solution Delivery Lifecycle (SDLC) and assessing data capabilities to drive continuous improvement.

Key Responsibilities

Strategic Data Architecture Development

  • Design and implement end-to-end data architectures for enterprise-scale data engineering and analytics projects, incorporating medallion and lakehouse models to support real-time and batch analytics.
  • Develop and operationalize a Target Operating Model (TOM) for Corporate Data Architecture & Modeling, ensuring alignment with business and technical goals.
  • Contribute to the development of business and technical architecture for a Data Fabric, enabling seamless data access and integration across the enterprise.
  • Establish and embed Data Architecture & Modeling control gates across the Solution Delivery Lifecycle (SDLC) to ensure robust governance and compliance.
  • Develop a capability assessment framework to evaluate and enhance data architecture and modeling maturity.
  • Support the team in building scalable and high-performance data pipelines, leveraging ETL tools, Python, and SQL to extract, transform, and load data from various sources.
  • Optimize data storage and transformation processes to ensure efficiency, reliability, and accessibility for advanced analytics and reporting.
  • Resolve technical blockers in data pipeline development and offer architectural guidance where needed.
  • Design and implement scalable, secure, and cloud-native data infrastructures using AWS, GCP, or Azure.
  • Apply best practices in cloud data architecture, governance, and security to optimize performance and cost efficiency.

Data Governance & Warehouse Design

  • Develop data warehousing solutions that support complex data analytics and reporting needs, ensuring alignment with best practices in data modeling and storage optimization.
  • Implement data governance strategies to ensure data quality, integrity, and security across the enterprise.

Cross-functional Collaboration & Innovation

  • Work closely with data scientists and engineers to facilitate the development and deployment of machine learning models, ensuring scalable and efficient data architecture support.
  • Stay ahead of emerging trends in data architecture, AI, and cloud computing to drive continuous innovation and improvement within the team and company.

Qualifications & Experience

  • Bachelor's degree in Computer Science, Data Engineering, or a related field.
  • 4-5 years of experience in data engineering, analytics, and data science, with a strong focus on data architecture and pipeline development.
  • 2-3 years of hands-on experience with at least two of the three major cloud platforms (AWS, GCP, Azure) and a solution architect certification in one of them.
  • Strong expertise in data warehousing concepts, ETL processes, and cloud data infrastructure design.
  • Proficiency in Python, SQL, and ETL tools.
  • Hands-on experience with Spark and Databricks is a strong advantage.
  • Experience in building and deploying machine learning models is highly desirable.
  • Strong problem-solving, analytical, and cross-functional collaboration skills.
Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Engineering and Information Technology
  • Industries: IT Services and IT Consulting
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