We are seeking an experienced and visionary Data Engineering Architect / Practice Lead with over 12 years of hands-on experience in data engineering and architecture. The ideal candidate is someone who thrives in a dynamic and fast-paced environment, and is passionate about leveraging cloud technologies and data engineering principles to design and deliver scalable, high-performance, and innovative solutions. This role demands a balance of strong technical expertise, leadership, business acumen, and strategic foresight to drive data transformation journeys for global clients.
Key Responsibilities
Architectural Leadership & Solution Design
- Lead end-to-end architecture and design of modern data engineering solutions across diverse cloud platforms (Azure, AWS, GCP).
- Translate complex business requirements into scalable and secure technical solutions that meet both functional and non-functional objectives.
- Develop and review solution architecture blueprints, technical documentation, and best practices, ensuring consistency, reusability, and adherence to enterprise standards.
- Evaluate different architectural approaches and recommend optimal strategies based on cost, performance, security, and operational efficiency.
Engineering Guidance & Governance
- Provide technical oversight and mentoring to engineering teams throughout the development lifecycle, from ideation to deployment and post-implementation support.
- Drive adoption of industry best practices, coding standards, and CI/CD methodologies.
- Review engineering deliverables and configurations to ensure alignment with architectural intent and project goals.
- Establish reusable frameworks, tools, and accelerators to improve engineering productivity and solution delivery.
Strategic Growth & Practice Development
- Spearhead the growth of the Data Engineering practice by identifying new business opportunities, expanding existing client engagements, and innovating service offerings.
- Define and continuously evolve go-to-market strategies, accelerators, reusable assets, and delivery frameworks.
- Build a high-performing data engineering team through strategic hiring, mentorship, and career development plans.
- Collaborate with the Learning & Development teams to design training paths, certification goals, and continuous upskilling strategies for the team.
Client Engagement & Business Value Delivery
- Act as a trusted advisor and strategic partner to clients by aligning technical solutions with their business goals.
- Lead executive conversations, propose custom and differentiated data strategies, and help customers realize measurable business value through data-driven solutions.
- Identify and mitigate risks and dependencies across projects and client engagements.
- Foster long-term relationships with clients and stakeholders through impactful communication, transparency, and delivery excellence.
Thought Leadership & Evangelism
- Represent the organization as a thought leader through whitepapers, blogs, webinars, speaking engagements, and panel discussions.
- Promote and evangelize the data engineering capabilities both internally and externally, articulating the business value and innovation potential.
- Stay abreast of industry trends, emerging technologies, and competitive landscapes to provide foresight and guidance for future capabilities.
- Contribute to sales enablement by participating in pre-sales activities such as RFPs, solutioning, PoCs, and client presentations.
Key Technical Skills & Experience
- 12+ years of strong experience in data engineering, cloud architecture, and solution design.
- Proven expertise in architecting solutions using Azure Data Services, AWS Analytics Stack, and Google Cloud Platform (GCP).
- Deep understanding of data ingestion, processing, transformation, and storage patterns (ETL/ELT, real-time streaming, batch processing, etc.).
- Experience with modern data tools like Apache Spark, Databricks, Kafka, Snowflake, BigQuery, Redshift, Synapse, Data Factory, Glue, and Cloud Composer.
- Strong grasp of Data Governance, Data Quality, Metadata Management, and Security principles.
- Familiarity with containerization (Docker, Kubernetes), infrastructure-as-code (Terraform, ARM), and CI/CD pipelines.
- Solid knowledge of data modeling, data warehouse design, and analytics frameworks.
Leadership & Soft Skills
- Proven track record of leading cross-functional teams and large-scale data projects.
- Strong analytical and strategic thinking skills with a solution-oriented mindset.
- Exceptional communication, stakeholder management, and presentation abilities.
- Ability to manage multiple engagements and priorities in a fast-paced environment.
- Passion for coaching, mentoring, and empowering others.
- Ability to work across multiple time zones and cultures.
Why Join Us?
- Be part of a cutting-edge team that is transforming how businesses use data.
- Lead and shape one of the most critical technology practices of the future.
- Access to top-tier clients and high-impact global projects.
- Culture of continuous learning, innovation, and collaboration.
- Competitive compensation, benefits, and career growth opportunities.
You will be responsible for setting the strategic direction of our data engineering practice, architecting large-scale data solutions, leading engineering teams, and collaborating with stakeholders across sales, pre-sales, delivery, and product teams. You will also play a key role in developing thought leadership, growing the practice, mentoring team members, and influencing enterprise data strategies for our clients.