Head of Data

We are seeking an experienced and visionary Head of Data to lead our data strategy, architecture, and engineering initiatives. This role requires a strong technical leader with hands-on expertise in data architecture, data engineering, and enterprise data solutions. The ideal candidate will have deep experience in designing and implementing large-scale data platforms, data warehousing, and big data solutions while also demonstrating the ability to build and manage high-performing data teams.

Key Responsibilities

Strategic Leadership & Architecture

• Define and execute the overall data strategy, ensuring alignment with business goals and client needs.
• Architect and implement scalable enterprise data solutions, including but not limited to big data, data warehousing, and real-time data streaming solutions.
• Lead data governance, security, and compliance efforts to ensure data integrity and adherence to regulatory requirements.
• Drive modernization efforts, including cloud migration, data lake implementations, and AI-driven analytics platforms.

Client Engagement & Solutioning

• Serve as a trusted advisor to clients, understanding their business challenges and translating them into scalable data solutions.
• Lead client workshops, technical deep-dives, and solutioning sessions, ensuring innovative and tailored recommendations.
• Independently engage with mid-size to enterprise clients to assess data maturity, define roadmaps, and execute digital transformation initiatives.

Technical Expertise & Hands-on Execution

• Provide hands-on expertise in designing and implementing data platforms using cloud and on-premise technologies (AWS, Azure, GCP, Hadoop, Spark, Snowflake, Databricks, etc.).
• Establish best practices for ETL/ELT processes, data pipeline automation, and data lake architectures.
• Oversee data modeling, database optimization, and performance tuning for high-scale environments.
• Lead the integration of AI/ML capabilities into data platforms to drive actionable insights.

Team Building & Leadership

• Hire, mentor, and manage a high-performing team of data engineers, architects, and analysts.
• Foster a culture of innovation, continuous learning, and collaboration within the data team.
• Define team goals, measure performance, and drive efficiency improvements.

Required Skills & Experience.

Technical Expertise

• 10+ years of experience in data architecture, data engineering, or related roles, with at least 3 years in a leadership capacity.
• Strong hands-on expertise in big data technologies (Hadoop, Spark, Kafka, Flink, etc.).
• Deep knowledge of data warehousing solutions (Databricks, Snowflake, Redshift, BigQuery, Synapse, etc.).
• Experience with cloud platforms (AWS, Azure, GCP) and hybrid data architectures.
• Proven ability to design and implement ETL/ELT processes and data pipeline automation.
• Strong background in SQL, NoSQL, and Graph Databases.
• Knowledge of data governance, security, and compliance frameworks.
• Exposure to AI/ML-driven data solutions and MLOps practices is a plus.

Leadership & Client Management

• Demonstrated experience in managing data teams and driving data strategy.
• Proven track record of leading enterprise-level data projects from ideation to execution.
• Strong stakeholder management, with the ability to engage with C-level executives and technical teams.
• Excellent problem-solving, analytical, and communication skills.
• Ability to handle ambiguity and drive solutions in fast-paced environments.

Preferred Qualifications

• Masters or Bachelors degree in Computer Science, Data Engineering, or a related field.
• Industry certifications (AWS Certified Data Analytics, Google Professional Data Engineer, Snowflake Architect, etc.).
• Experience in data mesh, data fabric, or real-time analytics is a plus.

Why Join Us?

• Opportunity to lead and shape the Data & AI practice in a fast-growing technology organization.
• Work on cutting-edge data solutions for enterprise clients across diverse industries.
• Collaborative and innovative culture with a focus on continuous learning.
• Competitive compensation, benefits, and career growth opportunities.