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Key Account Manager (Recruitment Consultant / Program Manager)
India · Remote Solely
$600k–$1500k/yr
Mid level
This is an internal role at Weekday. Not a role by a client. Location: Remote (India) Compensation: ₹6,000,000 – ₹1,500,000 CTC + Performance Incentives Funding & Backing: Y Combinator (S21), General Catalyst, Kunal Shah…
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Join the innovative team at Weekday AI as an Operations Associate Intern! Location: Remote Stipend: Up to 15,000 INR (Fixed + Variable) Duration: 4 months (with a potential for extension based on your amazing performance…
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
$4500k–$12500k/yr
Full-time
Posted 6d ago
~40 hrs/week
Responsibilities
The Engineering Manager will lead, mentor, and scale a hybrid team of Data Engineers and Data Analysts while overseeing the data roadmap and architecture. They will act as a strategic bridge between engineering and analytics to ensure scalable, high-quality data infrastructure that supports business intelligence.
Requirements
Candidates must have at least 7 years of experience, including 5-7 years of hands-on data engineering and 1-3 years in a technical leadership role. Proficiency in Python, SQL, streaming technologies like Kafka/Flink, and modern data modeling frameworks is essential.
Full job description
This role is for one of our clients
Industry: Technology, Information and Media
Seniority level: Mid-Senior level
Min Experience: 7+ years
Location: Bengaluru JobType: full-time
\n\n
₹45,00,000 - ₹1,25,00,000 a year
We are looking for a sharp, hands-on Engineering Manager to lead, mentor, and scale a hybrid team of Data Engineers and Data Analysts. In this role, you won't just be managing spreadsheets and standups; you will be the strategic bridge between robust data infrastructure and actionable business intelligence.
The ideal candidate has walked the walk as a heavy-hitting Data Engineer, transitioned into a high-impact technical leadership role, and fundamentally understands how data analysts consume data to drive business decisions. If you love building scalable pipelines but get equally excited about clean data models that empower analysts to deliver killer insights, we want to talk to you.
Requirements
What You’ll Do
● People Leadership: Manage, mentor, and grow a talented team of Data Engineers and Data Analysts. Conduct regular 1-on-1s, guide career development, and foster a collaborative, high-performance team culture.
● Technical Strategy & Architecture: Partner with engineering and product leaders to design and execute our data roadmap. Ensure our data platform is scalable, reliable, and optimized for both production systems and analytical queries.
● Bridge the Gap: Act as the connective tissue between engineering and analytics. Ensure data pipelines are built with the end-user (the analyst and business stakeholder) in mind, championing data quality, clear documentation, and intuitive data modeling.
● Delivery & Execution: Own the delivery of data infrastructure projects and analytics initiatives. Balance technical debt with the delivery of high-value business features using agile methodologies.
● Hands-on Guidance: While this is a management role, you aren't afraid to dive into a code review, unblock a tricky SQL query, or help architect a complex data pipeline when the team needs it.
What You Bring
● Technical Leadership: 1–3 years of experience serving as a Technical Lead, Scrum Master, or Staff Engineer, with a proven track record of guiding technical decisions and mentoring peers.
● Deep Individual Contributor (IC) Roots: Minimum of 5–7 years of hands-on experience as an IC Data Engineer building scalable production data pipelines, ETL/ELT workflows, and managing data warehouses (e.g., Snowflake, BigQuery, Redshift).
● Streaming & Ingestion Expertise: Direct, hands-on experience utilizing Apache Kafka and Apache Flink for high-throughput, real-time data ingestion and stream processing.
● Analyst-Centric Mindset: A strong history of working very closely with Data Analysts. You understand their pain points, speak their language, and have deep experience with data modeling frameworks (like dbt) and BI tools (like Tableau, Looker, or PowerBI).
● Core Technical Skills: Proficient in Python, advanced SQL, data orchestration tools (like Airflow or Prefect), and modern data architecture principles.
● Communication Skills: Exceptional communication skills with the ability to translate complex technical concepts into clear business outcomes for non-technical stakeholders.
Bonus Points If You Have
● Experience working within media streaming companies and developing data solutions for consumer-driven applications.
● Experience managing hybrid teams consisting of both engineering and analytics skill sets.
● Familiarity with data governance, security compliance, and data privacy regulations.
● Experience scaling data teams in a fast-paced, high-growth environment.
Must-have skills
Data Engineering, Technical Leadership
Good-to-have skills
Data Analytics
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Related keywords
Data EngineeringTechnical LeadershipData AnalyticsPythonSQLApache KafkaApache FlinkSnowflakeBigQueryRedshiftAirflowPrefectDbtTableauLookerPowerBI
A new era of Weekday is here. We’ve evolved into a creative multi-space, now home to Monki, Cheap Monday, exclusive drops, second hand finds, and more.
Rooted in youth culture, we embrace contrast: bold yet understated, raw yet refined. Always shifting—loud, quiet, playful, introspective. Weekday is whatever’s happening now.
This is the space to explore every version of yourself. More choice, more experimentation, more ways to express. From fashion to community, what you wear is just the beginning.
Offices: Åsögatan 115, Stockholm, Stockholm 11624, SE
Human ResourcesInformation TechnologyE-CommerceRecruitingFashion
A new era of Weekday is here. We’ve evolved into a creative multi-space, now home to Monki, Cheap Monday, exclusive drops, second hand finds, and more.
Rooted in youth culture, we embrace contrast: bold yet understated, raw yet refined. Always shifting—loud, quiet, playful, introspective. Weekday is whatever’s happening now.
This is the space to explore every version of yourself. More choice, more experimentation, more ways to express. From fashion to community, what you wear is just the beginning.
Offices: Åsögatan 115, Stockholm, Stockholm 11624, SE
Human ResourcesInformation TechnologyE-CommerceRecruitingFashion